1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
## 
## Attaching package: 'MatrixGenerics'
## The following objects are masked from 'package:matrixStats':
## 
##     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
##     colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
##     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
##     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
##     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
##     colWeightedMeans, colWeightedMedians, colWeightedSds,
##     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
##     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
##     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
##     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
##     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
##     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
##     rowWeightedSds, rowWeightedVars
## Loading required package: GenomicRanges
## Loading required package: stats4
## Loading required package: BiocGenerics
## 
## Attaching package: 'BiocGenerics'
## The following objects are masked from 'package:stats':
## 
##     IQR, mad, sd, var, xtabs
## The following objects are masked from 'package:base':
## 
##     Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
##     as.data.frame, basename, cbind, colnames, dirname, do.call,
##     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
##     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
##     pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
##     union, unique, unsplit, which.max, which.min
## Loading required package: S4Vectors
## 
## Attaching package: 'S4Vectors'
## The following object is masked from 'package:utils':
## 
##     findMatches
## The following objects are masked from 'package:base':
## 
##     I, expand.grid, unname
## Loading required package: IRanges
## Loading required package: GenomeInfoDb
## Loading required package: Biobase
## Welcome to Bioconductor
## 
##     Vignettes contain introductory material; view with
##     'browseVignettes()'. To cite Bioconductor, see
##     'citation("Biobase")', and for packages 'citation("pkgname")'.
## 
## Attaching package: 'Biobase'
## The following object is masked from 'package:MatrixGenerics':
## 
##     rowMedians
## The following objects are masked from 'package:matrixStats':
## 
##     anyMissing, rowMedians
prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2024-06-25 17:03:26.979455 INFO::Creating output folder.
## 2024-06-25 17:03:26.992547 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-06-25 17:03:27.065739 INFO::Summarized Experiment created.
## 2024-06-25 17:03:27.067852 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## 
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2024-06-25 17:03:31.713714 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-06-25 17:03:31.715068 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2024-06-25 17:03:33.228576 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2024-06-25 17:03:35.572687 INFO::Writing function arguments to log file
## 2024-06-25 17:03:35.580508 INFO::Verifying options selected are valid
## 2024-06-25 17:03:35.628567 INFO::Determining format of input files
## 2024-06-25 17:03:35.630055 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-06-25 17:03:35.646108 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-06-25 17:03:35.648385 INFO::Filter data based on min abundance and min prevalence
## 2024-06-25 17:03:35.649359 INFO::Total samples in data: 102
## 2024-06-25 17:03:35.650191 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-06-25 17:03:35.661656 INFO::Total filtered features: 0
## 2024-06-25 17:03:35.663338 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-06-25 17:03:35.679179 INFO::Total filtered features with variance filtering: 0
## 2024-06-25 17:03:35.680388 INFO::Filtered feature names from variance filtering:
## 2024-06-25 17:03:35.681267 INFO::Running selected normalization method: NONE
## 2024-06-25 17:03:35.682112 INFO::Applying z-score to standardize continuous metadata
## 2024-06-25 17:03:35.707834 INFO::Running selected transform method: NONE
## 2024-06-25 17:03:35.709 INFO::Running selected analysis method: LM
## 2024-06-25 17:03:35.716864 INFO::Fitting model to feature number 1, F1
## 2024-06-25 17:03:35.726769 INFO::Fitting model to feature number 2, F2
## 2024-06-25 17:03:35.731388 INFO::Fitting model to feature number 3, F3
## 2024-06-25 17:03:35.735591 INFO::Fitting model to feature number 4, F4
## 2024-06-25 17:03:35.739765 INFO::Fitting model to feature number 5, F5
## 2024-06-25 17:03:35.745706 INFO::Fitting model to feature number 6, F6
## 2024-06-25 17:03:35.749736 INFO::Fitting model to feature number 7, F7
## 2024-06-25 17:03:35.754517 INFO::Fitting model to feature number 8, F8
## 2024-06-25 17:03:35.759223 INFO::Fitting model to feature number 9, F9
## 2024-06-25 17:03:35.763146 INFO::Fitting model to feature number 10, F10
## 2024-06-25 17:03:35.768605 INFO::Fitting model to feature number 11, F11
## 2024-06-25 17:03:35.774386 INFO::Fitting model to feature number 12, F12
## 2024-06-25 17:03:35.778506 INFO::Fitting model to feature number 13, F13
## 2024-06-25 17:03:35.782314 INFO::Fitting model to feature number 14, F14
## 2024-06-25 17:03:35.786225 INFO::Fitting model to feature number 15, F15
## 2024-06-25 17:03:35.789922 INFO::Fitting model to feature number 16, F16
## 2024-06-25 17:03:35.79367 INFO::Fitting model to feature number 17, F17
## 2024-06-25 17:03:35.797529 INFO::Fitting model to feature number 18, F18
## 2024-06-25 17:03:35.801372 INFO::Fitting model to feature number 19, F19
## 2024-06-25 17:03:35.806286 INFO::Fitting model to feature number 20, F20
## 2024-06-25 17:03:35.811864 INFO::Fitting model to feature number 21, F21
## 2024-06-25 17:03:35.817573 INFO::Fitting model to feature number 22, F22
## 2024-06-25 17:03:35.823324 INFO::Fitting model to feature number 23, F23
## 2024-06-25 17:03:35.829132 INFO::Fitting model to feature number 24, F24
## 2024-06-25 17:03:35.835084 INFO::Fitting model to feature number 25, F25
## 2024-06-25 17:03:35.840703 INFO::Fitting model to feature number 26, F26
## 2024-06-25 17:03:35.84637 INFO::Fitting model to feature number 27, F27
## 2024-06-25 17:03:35.850422 INFO::Fitting model to feature number 28, F28
## 2024-06-25 17:03:35.854712 INFO::Fitting model to feature number 29, F29
## 2024-06-25 17:03:35.858775 INFO::Fitting model to feature number 30, F30
## 2024-06-25 17:03:35.864333 INFO::Fitting model to feature number 31, F31
## 2024-06-25 17:03:35.868522 INFO::Fitting model to feature number 32, F32
## 2024-06-25 17:03:35.872324 INFO::Fitting model to feature number 33, F33
## 2024-06-25 17:03:35.877285 INFO::Fitting model to feature number 34, F34
## 2024-06-25 17:03:35.881318 INFO::Fitting model to feature number 35, F35
## 2024-06-25 17:03:35.885044 INFO::Fitting model to feature number 36, F36
## 2024-06-25 17:03:35.889087 INFO::Fitting model to feature number 37, F37
## 2024-06-25 17:03:35.893122 INFO::Fitting model to feature number 38, F38
## 2024-06-25 17:03:35.897197 INFO::Fitting model to feature number 39, F39
## 2024-06-25 17:03:35.900909 INFO::Fitting model to feature number 40, F40
## 2024-06-25 17:03:35.905022 INFO::Fitting model to feature number 41, F41
## 2024-06-25 17:03:35.908813 INFO::Fitting model to feature number 42, F43
## 2024-06-25 17:03:35.912602 INFO::Fitting model to feature number 43, F44
## 2024-06-25 17:03:35.916376 INFO::Fitting model to feature number 44, F45
## 2024-06-25 17:03:35.920058 INFO::Fitting model to feature number 45, F46
## 2024-06-25 17:03:35.92379 INFO::Fitting model to feature number 46, F47
## 2024-06-25 17:03:35.927558 INFO::Fitting model to feature number 47, F48
## 2024-06-25 17:03:35.932237 INFO::Fitting model to feature number 48, F49
## 2024-06-25 17:03:35.936044 INFO::Fitting model to feature number 49, F50
## 2024-06-25 17:03:35.93981 INFO::Fitting model to feature number 50, F51
## 2024-06-25 17:03:35.94356 INFO::Fitting model to feature number 51, F52
## 2024-06-25 17:03:35.947269 INFO::Fitting model to feature number 52, F53
## 2024-06-25 17:03:35.950988 INFO::Fitting model to feature number 53, F54
## 2024-06-25 17:03:35.954728 INFO::Fitting model to feature number 54, F55
## 2024-06-25 17:03:35.958508 INFO::Fitting model to feature number 55, F56
## 2024-06-25 17:03:35.963769 INFO::Fitting model to feature number 56, F57
## 2024-06-25 17:03:35.96756 INFO::Fitting model to feature number 57, F58
## 2024-06-25 17:03:35.971717 INFO::Fitting model to feature number 58, F59
## 2024-06-25 17:03:35.976977 INFO::Fitting model to feature number 59, F60
## 2024-06-25 17:03:35.981887 INFO::Fitting model to feature number 60, F63
## 2024-06-25 17:03:35.986937 INFO::Fitting model to feature number 61, F64
## 2024-06-25 17:03:35.991324 INFO::Fitting model to feature number 62, F65
## 2024-06-25 17:03:35.995804 INFO::Fitting model to feature number 63, F66
## 2024-06-25 17:03:36.000974 INFO::Fitting model to feature number 64, F67
## 2024-06-25 17:03:36.005779 INFO::Fitting model to feature number 65, F68
## 2024-06-25 17:03:36.011241 INFO::Fitting model to feature number 66, F69
## 2024-06-25 17:03:36.015881 INFO::Fitting model to feature number 67, F70
## 2024-06-25 17:03:36.020872 INFO::Fitting model to feature number 68, F71
## 2024-06-25 17:03:36.025116 INFO::Fitting model to feature number 69, F72
## 2024-06-25 17:03:36.029672 INFO::Fitting model to feature number 70, F73
## 2024-06-25 17:03:36.034178 INFO::Fitting model to feature number 71, F74
## 2024-06-25 17:03:36.038962 INFO::Fitting model to feature number 72, F76
## 2024-06-25 17:03:36.043594 INFO::Fitting model to feature number 73, F77
## 2024-06-25 17:03:36.047656 INFO::Fitting model to feature number 74, F78
## 2024-06-25 17:03:36.052066 INFO::Fitting model to feature number 75, F79
## 2024-06-25 17:03:36.055861 INFO::Fitting model to feature number 76, F80
## 2024-06-25 17:03:36.05966 INFO::Fitting model to feature number 77, F81
## 2024-06-25 17:03:36.063465 INFO::Fitting model to feature number 78, F82
## 2024-06-25 17:03:36.067282 INFO::Fitting model to feature number 79, F83
## 2024-06-25 17:03:36.07181 INFO::Fitting model to feature number 80, F84
## 2024-06-25 17:03:36.075647 INFO::Fitting model to feature number 81, F85
## 2024-06-25 17:03:36.07942 INFO::Fitting model to feature number 82, F86
## 2024-06-25 17:03:36.083348 INFO::Fitting model to feature number 83, F87
## 2024-06-25 17:03:36.087576 INFO::Fitting model to feature number 84, F88
## 2024-06-25 17:03:36.091633 INFO::Fitting model to feature number 85, F89
## 2024-06-25 17:03:36.095572 INFO::Fitting model to feature number 86, F90
## 2024-06-25 17:03:36.099638 INFO::Fitting model to feature number 87, F91
## 2024-06-25 17:03:36.104058 INFO::Fitting model to feature number 88, F92
## 2024-06-25 17:03:36.109402 INFO::Fitting model to feature number 89, F93
## 2024-06-25 17:03:36.114301 INFO::Fitting model to feature number 90, F94
## 2024-06-25 17:03:36.119588 INFO::Fitting model to feature number 91, F95
## 2024-06-25 17:03:36.123942 INFO::Fitting model to feature number 92, F96
## 2024-06-25 17:03:36.127934 INFO::Fitting model to feature number 93, F97
## 2024-06-25 17:03:36.131648 INFO::Fitting model to feature number 94, F98
## 2024-06-25 17:03:36.136036 INFO::Fitting model to feature number 95, F99
## 2024-06-25 17:03:36.141475 INFO::Fitting model to feature number 96, F100
## 2024-06-25 17:03:36.145793 INFO::Fitting model to feature number 97, F101
## 2024-06-25 17:03:36.150584 INFO::Fitting model to feature number 98, F102
## 2024-06-25 17:03:36.15497 INFO::Fitting model to feature number 99, F103
## 2024-06-25 17:03:36.15876 INFO::Fitting model to feature number 100, F104
## 2024-06-25 17:03:36.16312 INFO::Fitting model to feature number 101, F105
## 2024-06-25 17:03:36.169004 INFO::Fitting model to feature number 102, F106
## 2024-06-25 17:03:36.174274 INFO::Fitting model to feature number 103, F107
## 2024-06-25 17:03:36.179095 INFO::Fitting model to feature number 104, F108
## 2024-06-25 17:03:36.184514 INFO::Fitting model to feature number 105, F109
## 2024-06-25 17:03:36.189343 INFO::Fitting model to feature number 106, F110
## 2024-06-25 17:03:36.194834 INFO::Fitting model to feature number 107, F111
## 2024-06-25 17:03:36.198971 INFO::Fitting model to feature number 108, F112
## 2024-06-25 17:03:36.204619 INFO::Fitting model to feature number 109, F113
## 2024-06-25 17:03:36.209556 INFO::Fitting model to feature number 110, F114
## 2024-06-25 17:03:36.213769 INFO::Fitting model to feature number 111, F115
## 2024-06-25 17:03:36.217944 INFO::Fitting model to feature number 112, F117
## 2024-06-25 17:03:36.222498 INFO::Fitting model to feature number 113, F118
## 2024-06-25 17:03:36.226791 INFO::Fitting model to feature number 114, F119
## 2024-06-25 17:03:36.231063 INFO::Fitting model to feature number 115, F120
## 2024-06-25 17:03:36.236424 INFO::Fitting model to feature number 116, F121
## 2024-06-25 17:03:36.241445 INFO::Fitting model to feature number 117, F122
## 2024-06-25 17:03:36.245805 INFO::Fitting model to feature number 118, F123
## 2024-06-25 17:03:36.251049 INFO::Fitting model to feature number 119, F124
## 2024-06-25 17:03:36.255685 INFO::Fitting model to feature number 120, F125
## 2024-06-25 17:03:36.259833 INFO::Fitting model to feature number 121, F126
## 2024-06-25 17:03:36.264106 INFO::Fitting model to feature number 122, F127
## 2024-06-25 17:03:36.26841 INFO::Fitting model to feature number 123, F128
## 2024-06-25 17:03:36.273123 INFO::Fitting model to feature number 124, F129
## 2024-06-25 17:03:36.277145 INFO::Fitting model to feature number 125, F130
## 2024-06-25 17:03:36.281094 INFO::Fitting model to feature number 126, F131
## 2024-06-25 17:03:36.284982 INFO::Fitting model to feature number 127, F132
## 2024-06-25 17:03:36.290078 INFO::Fitting model to feature number 128, F133
## 2024-06-25 17:03:36.294621 INFO::Fitting model to feature number 129, F134
## 2024-06-25 17:03:36.336811 INFO::Fitting model to feature number 130, F135
## 2024-06-25 17:03:36.343242 INFO::Fitting model to feature number 131, F136
## 2024-06-25 17:03:36.347443 INFO::Fitting model to feature number 132, F137
## 2024-06-25 17:03:36.351179 INFO::Fitting model to feature number 133, F138
## 2024-06-25 17:03:36.354931 INFO::Fitting model to feature number 134, F139
## 2024-06-25 17:03:36.358751 INFO::Fitting model to feature number 135, F140
## 2024-06-25 17:03:36.362581 INFO::Fitting model to feature number 136, F141
## 2024-06-25 17:03:36.366406 INFO::Fitting model to feature number 137, F142
## 2024-06-25 17:03:36.370228 INFO::Fitting model to feature number 138, F143
## 2024-06-25 17:03:36.373986 INFO::Fitting model to feature number 139, F144
## 2024-06-25 17:03:36.377575 INFO::Fitting model to feature number 140, F145
## 2024-06-25 17:03:36.381129 INFO::Fitting model to feature number 141, F146
## 2024-06-25 17:03:36.384883 INFO::Fitting model to feature number 142, F147
## 2024-06-25 17:03:36.390014 INFO::Fitting model to feature number 143, F148
## 2024-06-25 17:03:36.395279 INFO::Fitting model to feature number 144, F149
## 2024-06-25 17:03:36.399294 INFO::Fitting model to feature number 145, F150
## 2024-06-25 17:03:36.404292 INFO::Fitting model to feature number 146, F152
## 2024-06-25 17:03:36.408942 INFO::Fitting model to feature number 147, F153
## 2024-06-25 17:03:36.412472 INFO::Fitting model to feature number 148, F154
## 2024-06-25 17:03:36.416033 INFO::Fitting model to feature number 149, F155
## 2024-06-25 17:03:36.419563 INFO::Fitting model to feature number 150, F156
## 2024-06-25 17:03:36.423122 INFO::Fitting model to feature number 151, F157
## 2024-06-25 17:03:36.426749 INFO::Fitting model to feature number 152, F158
## 2024-06-25 17:03:36.432088 INFO::Fitting model to feature number 153, F159
## 2024-06-25 17:03:36.4364 INFO::Fitting model to feature number 154, F160
## 2024-06-25 17:03:36.441156 INFO::Fitting model to feature number 155, F161
## 2024-06-25 17:03:36.445557 INFO::Fitting model to feature number 156, F162
## 2024-06-25 17:03:36.450059 INFO::Fitting model to feature number 157, F163
## 2024-06-25 17:03:36.45475 INFO::Fitting model to feature number 158, F164
## 2024-06-25 17:03:36.459015 INFO::Fitting model to feature number 159, F165
## 2024-06-25 17:03:36.463576 INFO::Fitting model to feature number 160, F166
## 2024-06-25 17:03:36.468545 INFO::Fitting model to feature number 161, F167
## 2024-06-25 17:03:36.473488 INFO::Fitting model to feature number 162, F168
## 2024-06-25 17:03:36.478906 INFO::Fitting model to feature number 163, F169
## 2024-06-25 17:03:36.483746 INFO::Fitting model to feature number 164, F170
## 2024-06-25 17:03:36.488587 INFO::Fitting model to feature number 165, F171
## 2024-06-25 17:03:36.49247 INFO::Fitting model to feature number 166, F172
## 2024-06-25 17:03:36.496727 INFO::Fitting model to feature number 167, F173
## 2024-06-25 17:03:36.502124 INFO::Fitting model to feature number 168, F174
## 2024-06-25 17:03:36.506227 INFO::Fitting model to feature number 169, F175
## 2024-06-25 17:03:36.510232 INFO::Fitting model to feature number 170, F176
## 2024-06-25 17:03:36.514395 INFO::Fitting model to feature number 171, F177
## 2024-06-25 17:03:36.518794 INFO::Fitting model to feature number 172, F178
## 2024-06-25 17:03:36.523479 INFO::Fitting model to feature number 173, F179
## 2024-06-25 17:03:36.527292 INFO::Fitting model to feature number 174, F180
## 2024-06-25 17:03:36.531363 INFO::Fitting model to feature number 175, F181
## 2024-06-25 17:03:36.535373 INFO::Fitting model to feature number 176, F182
## 2024-06-25 17:03:36.540227 INFO::Fitting model to feature number 177, F183
## 2024-06-25 17:03:36.545678 INFO::Fitting model to feature number 178, F184
## 2024-06-25 17:03:36.549761 INFO::Fitting model to feature number 179, F185
## 2024-06-25 17:03:36.553458 INFO::Fitting model to feature number 180, F186
## 2024-06-25 17:03:36.558477 INFO::Fitting model to feature number 181, F187
## 2024-06-25 17:03:36.563547 INFO::Fitting model to feature number 182, F188
## 2024-06-25 17:03:36.569024 INFO::Fitting model to feature number 183, F189
## 2024-06-25 17:03:36.572927 INFO::Fitting model to feature number 184, F190
## 2024-06-25 17:03:36.578699 INFO::Fitting model to feature number 185, F191
## 2024-06-25 17:03:36.583714 INFO::Fitting model to feature number 186, F192
## 2024-06-25 17:03:36.588733 INFO::Fitting model to feature number 187, F193
## 2024-06-25 17:03:36.59373 INFO::Fitting model to feature number 188, F194
## 2024-06-25 17:03:36.599406 INFO::Fitting model to feature number 189, F195
## 2024-06-25 17:03:36.605075 INFO::Fitting model to feature number 190, F196
## 2024-06-25 17:03:36.61024 INFO::Fitting model to feature number 191, F197
## 2024-06-25 17:03:36.614903 INFO::Fitting model to feature number 192, F198
## 2024-06-25 17:03:36.620387 INFO::Fitting model to feature number 193, F199
## 2024-06-25 17:03:36.625645 INFO::Fitting model to feature number 194, F200
## 2024-06-25 17:03:36.629829 INFO::Fitting model to feature number 195, F201
## 2024-06-25 17:03:36.635474 INFO::Fitting model to feature number 196, F202
## 2024-06-25 17:03:36.641229 INFO::Fitting model to feature number 197, F203
## 2024-06-25 17:03:36.645736 INFO::Fitting model to feature number 198, F204
## 2024-06-25 17:03:36.649874 INFO::Fitting model to feature number 199, F206
## 2024-06-25 17:03:36.654718 INFO::Fitting model to feature number 200, F207
## 2024-06-25 17:03:36.659615 INFO::Fitting model to feature number 201, F208
## 2024-06-25 17:03:36.664574 INFO::Fitting model to feature number 202, F209
## 2024-06-25 17:03:36.668322 INFO::Fitting model to feature number 203, F210
## 2024-06-25 17:03:36.672423 INFO::Fitting model to feature number 204, F211
## 2024-06-25 17:03:36.677405 INFO::Fitting model to feature number 205, F212
## 2024-06-25 17:03:36.682533 INFO::Fitting model to feature number 206, F213
## 2024-06-25 17:03:36.690529 INFO::Fitting model to feature number 207, F214
## 2024-06-25 17:03:36.697706 INFO::Fitting model to feature number 208, F215
## 2024-06-25 17:03:36.702833 INFO::Fitting model to feature number 209, F216
## 2024-06-25 17:03:36.706596 INFO::Fitting model to feature number 210, F217
## 2024-06-25 17:03:36.710309 INFO::Fitting model to feature number 211, F218
## 2024-06-25 17:03:36.714042 INFO::Fitting model to feature number 212, F219
## 2024-06-25 17:03:36.719263 INFO::Fitting model to feature number 213, F220
## 2024-06-25 17:03:36.725289 INFO::Fitting model to feature number 214, F221
## 2024-06-25 17:03:36.730266 INFO::Fitting model to feature number 215, F222
## 2024-06-25 17:03:36.73527 INFO::Fitting model to feature number 216, F223
## 2024-06-25 17:03:36.740078 INFO::Fitting model to feature number 217, F224
## 2024-06-25 17:03:36.743939 INFO::Fitting model to feature number 218, F225
## 2024-06-25 17:03:36.747946 INFO::Fitting model to feature number 219, F226
## 2024-06-25 17:03:36.752503 INFO::Fitting model to feature number 220, F227
## 2024-06-25 17:03:36.757828 INFO::Fitting model to feature number 221, F228
## 2024-06-25 17:03:36.763129 INFO::Fitting model to feature number 222, F229
## 2024-06-25 17:03:36.767452 INFO::Fitting model to feature number 223, F230
## 2024-06-25 17:03:36.772538 INFO::Fitting model to feature number 224, F231
## 2024-06-25 17:03:36.777993 INFO::Fitting model to feature number 225, F232
## 2024-06-25 17:03:36.783155 INFO::Fitting model to feature number 226, F233
## 2024-06-25 17:03:36.787906 INFO::Fitting model to feature number 227, F234
## 2024-06-25 17:03:36.793969 INFO::Fitting model to feature number 228, F235
## 2024-06-25 17:03:36.79948 INFO::Fitting model to feature number 229, F236
## 2024-06-25 17:03:36.804685 INFO::Fitting model to feature number 230, F237
## 2024-06-25 17:03:36.808482 INFO::Fitting model to feature number 231, F238
## 2024-06-25 17:03:36.812406 INFO::Fitting model to feature number 232, F239
## 2024-06-25 17:03:36.816896 INFO::Fitting model to feature number 233, F240
## 2024-06-25 17:03:36.821491 INFO::Fitting model to feature number 234, F241
## 2024-06-25 17:03:36.826271 INFO::Fitting model to feature number 235, F242
## 2024-06-25 17:03:36.8308 INFO::Fitting model to feature number 236, F243
## 2024-06-25 17:03:36.835826 INFO::Fitting model to feature number 237, F244
## 2024-06-25 17:03:36.841685 INFO::Fitting model to feature number 238, F245
## 2024-06-25 17:03:36.845734 INFO::Fitting model to feature number 239, F246
## 2024-06-25 17:03:36.849234 INFO::Fitting model to feature number 240, F247
## 2024-06-25 17:03:36.852877 INFO::Fitting model to feature number 241, F248
## 2024-06-25 17:03:36.856764 INFO::Fitting model to feature number 242, F249
## 2024-06-25 17:03:36.860691 INFO::Fitting model to feature number 243, F250
## 2024-06-25 17:03:36.865127 INFO::Fitting model to feature number 244, F252
## 2024-06-25 17:03:36.869898 INFO::Fitting model to feature number 245, F253
## 2024-06-25 17:03:36.874737 INFO::Fitting model to feature number 246, F254
## 2024-06-25 17:03:36.879585 INFO::Fitting model to feature number 247, F255
## 2024-06-25 17:03:36.884212 INFO::Fitting model to feature number 248, F256
## 2024-06-25 17:03:36.887796 INFO::Fitting model to feature number 249, F257
## 2024-06-25 17:03:36.892481 INFO::Fitting model to feature number 250, F259
## 2024-06-25 17:03:36.896606 INFO::Fitting model to feature number 251, F260
## 2024-06-25 17:03:36.900841 INFO::Fitting model to feature number 252, F261
## 2024-06-25 17:03:36.90473 INFO::Fitting model to feature number 253, F262
## 2024-06-25 17:03:36.908989 INFO::Fitting model to feature number 254, F263
## 2024-06-25 17:03:36.912644 INFO::Fitting model to feature number 255, F264
## 2024-06-25 17:03:36.917834 INFO::Fitting model to feature number 256, F265
## 2024-06-25 17:03:36.922586 INFO::Fitting model to feature number 257, F266
## 2024-06-25 17:03:36.926795 INFO::Fitting model to feature number 258, F267
## 2024-06-25 17:03:36.931078 INFO::Fitting model to feature number 259, F269
## 2024-06-25 17:03:36.936154 INFO::Fitting model to feature number 260, F270
## 2024-06-25 17:03:36.940915 INFO::Fitting model to feature number 261, F271
## 2024-06-25 17:03:36.945752 INFO::Fitting model to feature number 262, F272
## 2024-06-25 17:03:36.950525 INFO::Fitting model to feature number 263, F273
## 2024-06-25 17:03:36.955996 INFO::Fitting model to feature number 264, F274
## 2024-06-25 17:03:36.961794 INFO::Fitting model to feature number 265, F276
## 2024-06-25 17:03:36.966592 INFO::Fitting model to feature number 266, F277
## 2024-06-25 17:03:36.97054 INFO::Fitting model to feature number 267, F278
## 2024-06-25 17:03:36.974246 INFO::Fitting model to feature number 268, F279
## 2024-06-25 17:03:36.977952 INFO::Fitting model to feature number 269, F280
## 2024-06-25 17:03:36.981815 INFO::Fitting model to feature number 270, F281
## 2024-06-25 17:03:36.985375 INFO::Fitting model to feature number 271, F282
## 2024-06-25 17:03:36.98984 INFO::Fitting model to feature number 272, F283
## 2024-06-25 17:03:36.994141 INFO::Fitting model to feature number 273, F284
## 2024-06-25 17:03:36.99844 INFO::Fitting model to feature number 274, F285
## 2024-06-25 17:03:37.002708 INFO::Fitting model to feature number 275, F286
## 2024-06-25 17:03:37.007815 INFO::Fitting model to feature number 276, F287
## 2024-06-25 17:03:37.012969 INFO::Fitting model to feature number 277, F288
## 2024-06-25 17:03:37.01795 INFO::Fitting model to feature number 278, F289
## 2024-06-25 17:03:37.022554 INFO::Fitting model to feature number 279, F290
## 2024-06-25 17:03:37.027651 INFO::Fitting model to feature number 280, F292
## 2024-06-25 17:03:37.031576 INFO::Fitting model to feature number 281, F293
## 2024-06-25 17:03:37.036044 INFO::Fitting model to feature number 282, F294
## 2024-06-25 17:03:37.040893 INFO::Fitting model to feature number 283, F295
## 2024-06-25 17:03:37.045614 INFO::Fitting model to feature number 284, F296
## 2024-06-25 17:03:37.051053 INFO::Fitting model to feature number 285, F297
## 2024-06-25 17:03:37.054764 INFO::Fitting model to feature number 286, F298
## 2024-06-25 17:03:37.058975 INFO::Fitting model to feature number 287, F299
## 2024-06-25 17:03:37.063787 INFO::Fitting model to feature number 288, F300
## 2024-06-25 17:03:37.067861 INFO::Fitting model to feature number 289, F301
## 2024-06-25 17:03:37.07227 INFO::Fitting model to feature number 290, F302
## 2024-06-25 17:03:37.07631 INFO::Fitting model to feature number 291, F303
## 2024-06-25 17:03:37.08137 INFO::Fitting model to feature number 292, F304
## 2024-06-25 17:03:37.085235 INFO::Fitting model to feature number 293, F305
## 2024-06-25 17:03:37.090404 INFO::Fitting model to feature number 294, F306
## 2024-06-25 17:03:37.095306 INFO::Fitting model to feature number 295, F307
## 2024-06-25 17:03:37.100751 INFO::Fitting model to feature number 296, F308
## 2024-06-25 17:03:37.105825 INFO::Fitting model to feature number 297, F309
## 2024-06-25 17:03:37.110399 INFO::Fitting model to feature number 298, F310
## 2024-06-25 17:03:37.115571 INFO::Fitting model to feature number 299, F311
## 2024-06-25 17:03:37.120086 INFO::Fitting model to feature number 300, F312
## 2024-06-25 17:03:37.124189 INFO::Fitting model to feature number 301, F313
## 2024-06-25 17:03:37.128233 INFO::Fitting model to feature number 302, F315
## 2024-06-25 17:03:37.132586 INFO::Fitting model to feature number 303, F316
## 2024-06-25 17:03:37.136844 INFO::Fitting model to feature number 304, F317
## 2024-06-25 17:03:37.140839 INFO::Fitting model to feature number 305, F318
## 2024-06-25 17:03:37.145249 INFO::Fitting model to feature number 306, F319
## 2024-06-25 17:03:37.149994 INFO::Fitting model to feature number 307, F320
## 2024-06-25 17:03:37.154708 INFO::Fitting model to feature number 308, F321
## 2024-06-25 17:03:37.160158 INFO::Fitting model to feature number 309, F322
## 2024-06-25 17:03:37.164788 INFO::Fitting model to feature number 310, F323
## 2024-06-25 17:03:37.168802 INFO::Fitting model to feature number 311, F324
## 2024-06-25 17:03:37.172586 INFO::Fitting model to feature number 312, F325
## 2024-06-25 17:03:37.178686 INFO::Fitting model to feature number 313, F326
## 2024-06-25 17:03:37.18429 INFO::Fitting model to feature number 314, F327
## 2024-06-25 17:03:37.189729 INFO::Fitting model to feature number 315, F328
## 2024-06-25 17:03:37.193583 INFO::Fitting model to feature number 316, F329
## 2024-06-25 17:03:37.199166 INFO::Fitting model to feature number 317, F330
## 2024-06-25 17:03:37.203484 INFO::Fitting model to feature number 318, F331
## 2024-06-25 17:03:37.208457 INFO::Fitting model to feature number 319, F332
## 2024-06-25 17:03:37.213818 INFO::Fitting model to feature number 320, F333
## 2024-06-25 17:03:37.21958 INFO::Fitting model to feature number 321, F334
## 2024-06-25 17:03:37.224944 INFO::Fitting model to feature number 322, F335
## 2024-06-25 17:03:37.229822 INFO::Fitting model to feature number 323, F336
## 2024-06-25 17:03:37.235824 INFO::Fitting model to feature number 324, F337
## 2024-06-25 17:03:37.241505 INFO::Fitting model to feature number 325, F338
## 2024-06-25 17:03:37.245398 INFO::Fitting model to feature number 326, F339
## 2024-06-25 17:03:37.249436 INFO::Fitting model to feature number 327, F340
## 2024-06-25 17:03:37.254871 INFO::Fitting model to feature number 328, F342
## 2024-06-25 17:03:37.259557 INFO::Fitting model to feature number 329, F343
## 2024-06-25 17:03:37.26495 INFO::Fitting model to feature number 330, F344
## 2024-06-25 17:03:37.269651 INFO::Fitting model to feature number 331, F345
## 2024-06-25 17:03:37.273788 INFO::Fitting model to feature number 332, F346
## 2024-06-25 17:03:37.277733 INFO::Fitting model to feature number 333, F347
## 2024-06-25 17:03:37.281453 INFO::Fitting model to feature number 334, F348
## 2024-06-25 17:03:37.285176 INFO::Fitting model to feature number 335, F350
## 2024-06-25 17:03:37.289111 INFO::Fitting model to feature number 336, F351
## 2024-06-25 17:03:37.293382 INFO::Fitting model to feature number 337, F352
## 2024-06-25 17:03:37.298178 INFO::Fitting model to feature number 338, F353
## 2024-06-25 17:03:37.303633 INFO::Fitting model to feature number 339, F355
## 2024-06-25 17:03:37.308035 INFO::Fitting model to feature number 340, F356
## 2024-06-25 17:03:37.313866 INFO::Fitting model to feature number 341, F357
## 2024-06-25 17:03:37.318748 INFO::Fitting model to feature number 342, F358
## 2024-06-25 17:03:37.322682 INFO::Fitting model to feature number 343, F359
## 2024-06-25 17:03:37.326554 INFO::Fitting model to feature number 344, F360
## 2024-06-25 17:03:37.330383 INFO::Fitting model to feature number 345, F361
## 2024-06-25 17:03:37.334199 INFO::Fitting model to feature number 346, F362
## 2024-06-25 17:03:37.338162 INFO::Fitting model to feature number 347, F363
## 2024-06-25 17:03:37.342026 INFO::Fitting model to feature number 348, F364
## 2024-06-25 17:03:37.345885 INFO::Fitting model to feature number 349, F365
## 2024-06-25 17:03:37.349671 INFO::Fitting model to feature number 350, F366
## 2024-06-25 17:03:37.353518 INFO::Fitting model to feature number 351, F367
## 2024-06-25 17:03:37.357282 INFO::Fitting model to feature number 352, F368
## 2024-06-25 17:03:37.36109 INFO::Fitting model to feature number 353, F369
## 2024-06-25 17:03:37.364838 INFO::Fitting model to feature number 354, F370
## 2024-06-25 17:03:37.368666 INFO::Fitting model to feature number 355, F371
## 2024-06-25 17:03:37.372511 INFO::Fitting model to feature number 356, F372
## 2024-06-25 17:03:37.376436 INFO::Fitting model to feature number 357, F373
## 2024-06-25 17:03:37.380255 INFO::Fitting model to feature number 358, F374
## 2024-06-25 17:03:37.384109 INFO::Fitting model to feature number 359, F375
## 2024-06-25 17:03:37.388034 INFO::Fitting model to feature number 360, F376
## 2024-06-25 17:03:37.391935 INFO::Fitting model to feature number 361, F377
## 2024-06-25 17:03:37.395922 INFO::Fitting model to feature number 362, F378
## 2024-06-25 17:03:37.40036 INFO::Fitting model to feature number 363, F379
## 2024-06-25 17:03:37.404137 INFO::Fitting model to feature number 364, F380
## 2024-06-25 17:03:37.407967 INFO::Fitting model to feature number 365, F381
## 2024-06-25 17:03:37.411804 INFO::Fitting model to feature number 366, F382
## 2024-06-25 17:03:37.415665 INFO::Fitting model to feature number 367, F383
## 2024-06-25 17:03:37.419503 INFO::Fitting model to feature number 368, F384
## 2024-06-25 17:03:37.423314 INFO::Fitting model to feature number 369, F386
## 2024-06-25 17:03:37.427139 INFO::Fitting model to feature number 370, F387
## 2024-06-25 17:03:37.431167 INFO::Fitting model to feature number 371, F388
## 2024-06-25 17:03:37.436275 INFO::Fitting model to feature number 372, F389
## 2024-06-25 17:03:37.441563 INFO::Fitting model to feature number 373, F390
## 2024-06-25 17:03:37.449838 INFO::Fitting model to feature number 374, F391
## 2024-06-25 17:03:37.456516 INFO::Fitting model to feature number 375, F392
## 2024-06-25 17:03:37.460676 INFO::Fitting model to feature number 376, F393
## 2024-06-25 17:03:37.465352 INFO::Fitting model to feature number 377, F394
## 2024-06-25 17:03:37.470532 INFO::Fitting model to feature number 378, F395
## 2024-06-25 17:03:37.475256 INFO::Fitting model to feature number 379, F396
## 2024-06-25 17:03:37.479585 INFO::Fitting model to feature number 380, F397
## 2024-06-25 17:03:37.484665 INFO::Fitting model to feature number 381, F398
## 2024-06-25 17:03:37.489752 INFO::Fitting model to feature number 382, F399
## 2024-06-25 17:03:37.494019 INFO::Fitting model to feature number 383, F400
## 2024-06-25 17:03:37.497853 INFO::Fitting model to feature number 384, F401
## 2024-06-25 17:03:37.502752 INFO::Fitting model to feature number 385, F402
## 2024-06-25 17:03:37.506883 INFO::Fitting model to feature number 386, F403
## 2024-06-25 17:03:37.511017 INFO::Fitting model to feature number 387, F404
## 2024-06-25 17:03:37.515112 INFO::Fitting model to feature number 388, F406
## 2024-06-25 17:03:37.520113 INFO::Fitting model to feature number 389, F407
## 2024-06-25 17:03:37.524556 INFO::Fitting model to feature number 390, F408
## 2024-06-25 17:03:37.528906 INFO::Fitting model to feature number 391, F409
## 2024-06-25 17:03:37.533486 INFO::Fitting model to feature number 392, F410
## 2024-06-25 17:03:37.537379 INFO::Fitting model to feature number 393, F411
## 2024-06-25 17:03:37.54119 INFO::Fitting model to feature number 394, F412
## 2024-06-25 17:03:37.545681 INFO::Fitting model to feature number 395, F413
## 2024-06-25 17:03:37.550136 INFO::Fitting model to feature number 396, F414
## 2024-06-25 17:03:37.553947 INFO::Fitting model to feature number 397, F415
## 2024-06-25 17:03:37.558658 INFO::Fitting model to feature number 398, F416
## 2024-06-25 17:03:37.563484 INFO::Fitting model to feature number 399, F417
## 2024-06-25 17:03:37.5676 INFO::Fitting model to feature number 400, F418
## 2024-06-25 17:03:37.571879 INFO::Fitting model to feature number 401, F419
## 2024-06-25 17:03:37.576851 INFO::Fitting model to feature number 402, F420
## 2024-06-25 17:03:37.581578 INFO::Fitting model to feature number 403, F421
## 2024-06-25 17:03:37.585848 INFO::Fitting model to feature number 404, F422
## 2024-06-25 17:03:37.591103 INFO::Fitting model to feature number 405, F423
## 2024-06-25 17:03:37.597082 INFO::Fitting model to feature number 406, F425
## 2024-06-25 17:03:37.601484 INFO::Fitting model to feature number 407, F426
## 2024-06-25 17:03:37.606585 INFO::Fitting model to feature number 408, F428
## 2024-06-25 17:03:37.612143 INFO::Fitting model to feature number 409, F429
## 2024-06-25 17:03:37.618163 INFO::Fitting model to feature number 410, F430
## 2024-06-25 17:03:37.624319 INFO::Fitting model to feature number 411, F431
## 2024-06-25 17:03:37.62936 INFO::Fitting model to feature number 412, F432
## 2024-06-25 17:03:37.635994 INFO::Fitting model to feature number 413, F433
## 2024-06-25 17:03:37.641642 INFO::Fitting model to feature number 414, F434
## 2024-06-25 17:03:37.647673 INFO::Fitting model to feature number 415, F435
## 2024-06-25 17:03:37.65297 INFO::Fitting model to feature number 416, F436
## 2024-06-25 17:03:37.658048 INFO::Fitting model to feature number 417, F437
## 2024-06-25 17:03:37.709179 INFO::Fitting model to feature number 418, F438
## 2024-06-25 17:03:37.715265 INFO::Fitting model to feature number 419, F439
## 2024-06-25 17:03:37.72096 INFO::Fitting model to feature number 420, F440
## 2024-06-25 17:03:37.726017 INFO::Fitting model to feature number 421, F441
## 2024-06-25 17:03:37.730542 INFO::Fitting model to feature number 422, F442
## 2024-06-25 17:03:37.735058 INFO::Fitting model to feature number 423, F443
## 2024-06-25 17:03:37.739283 INFO::Fitting model to feature number 424, F444
## 2024-06-25 17:03:37.745002 INFO::Fitting model to feature number 425, F445
## 2024-06-25 17:03:37.749459 INFO::Fitting model to feature number 426, F446
## 2024-06-25 17:03:37.753896 INFO::Fitting model to feature number 427, F447
## 2024-06-25 17:03:37.758834 INFO::Fitting model to feature number 428, F448
## 2024-06-25 17:03:37.764348 INFO::Fitting model to feature number 429, F449
## 2024-06-25 17:03:37.768255 INFO::Fitting model to feature number 430, F450
## 2024-06-25 17:03:37.772007 INFO::Fitting model to feature number 431, F451
## 2024-06-25 17:03:37.777104 INFO::Fitting model to feature number 432, F452
## 2024-06-25 17:03:37.782464 INFO::Fitting model to feature number 433, F454
## 2024-06-25 17:03:37.787755 INFO::Fitting model to feature number 434, F455
## 2024-06-25 17:03:37.793036 INFO::Fitting model to feature number 435, F456
## 2024-06-25 17:03:37.798138 INFO::Fitting model to feature number 436, F457
## 2024-06-25 17:03:37.802391 INFO::Fitting model to feature number 437, F458
## 2024-06-25 17:03:37.807087 INFO::Fitting model to feature number 438, F459
## 2024-06-25 17:03:37.810892 INFO::Fitting model to feature number 439, F461
## 2024-06-25 17:03:37.814344 INFO::Fitting model to feature number 440, F462
## 2024-06-25 17:03:37.818051 INFO::Fitting model to feature number 441, F463
## 2024-06-25 17:03:37.82235 INFO::Fitting model to feature number 442, F464
## 2024-06-25 17:03:37.826086 INFO::Fitting model to feature number 443, F465
## 2024-06-25 17:03:37.830006 INFO::Fitting model to feature number 444, F466
## 2024-06-25 17:03:37.834399 INFO::Fitting model to feature number 445, F467
## 2024-06-25 17:03:37.83868 INFO::Fitting model to feature number 446, F468
## 2024-06-25 17:03:37.843223 INFO::Fitting model to feature number 447, F469
## 2024-06-25 17:03:37.848635 INFO::Fitting model to feature number 448, F470
## 2024-06-25 17:03:37.853216 INFO::Fitting model to feature number 449, F471
## 2024-06-25 17:03:37.857617 INFO::Fitting model to feature number 450, F474
## 2024-06-25 17:03:37.862172 INFO::Fitting model to feature number 451, F475
## 2024-06-25 17:03:37.866785 INFO::Fitting model to feature number 452, F476
## 2024-06-25 17:03:37.871912 INFO::Fitting model to feature number 453, F477
## 2024-06-25 17:03:37.876989 INFO::Fitting model to feature number 454, F478
## 2024-06-25 17:03:37.880734 INFO::Fitting model to feature number 455, F479
## 2024-06-25 17:03:37.885782 INFO::Fitting model to feature number 456, F480
## 2024-06-25 17:03:37.891558 INFO::Fitting model to feature number 457, F481
## 2024-06-25 17:03:37.895642 INFO::Fitting model to feature number 458, F482
## 2024-06-25 17:03:37.900663 INFO::Fitting model to feature number 459, F483
## 2024-06-25 17:03:37.905131 INFO::Fitting model to feature number 460, F484
## 2024-06-25 17:03:37.910251 INFO::Fitting model to feature number 461, F485
## 2024-06-25 17:03:37.914944 INFO::Fitting model to feature number 462, F486
## 2024-06-25 17:03:37.919709 INFO::Fitting model to feature number 463, F487
## 2024-06-25 17:03:37.925089 INFO::Fitting model to feature number 464, F488
## 2024-06-25 17:03:37.92992 INFO::Fitting model to feature number 465, F489
## 2024-06-25 17:03:37.936108 INFO::Fitting model to feature number 466, F490
## 2024-06-25 17:03:37.942069 INFO::Fitting model to feature number 467, F491
## 2024-06-25 17:03:37.947876 INFO::Fitting model to feature number 468, F492
## 2024-06-25 17:03:37.952923 INFO::Fitting model to feature number 469, F493
## 2024-06-25 17:03:37.95804 INFO::Fitting model to feature number 470, F494
## 2024-06-25 17:03:37.96414 INFO::Fitting model to feature number 471, F495
## 2024-06-25 17:03:37.970007 INFO::Fitting model to feature number 472, F496
## 2024-06-25 17:03:37.974706 INFO::Fitting model to feature number 473, F497
## 2024-06-25 17:03:37.980093 INFO::Fitting model to feature number 474, F498
## 2024-06-25 17:03:37.985199 INFO::Fitting model to feature number 475, F499
## 2024-06-25 17:03:37.989346 INFO::Fitting model to feature number 476, F500
## 2024-06-25 17:03:37.994756 INFO::Fitting model to feature number 477, F501
## 2024-06-25 17:03:38.000042 INFO::Fitting model to feature number 478, F502
## 2024-06-25 17:03:38.004841 INFO::Fitting model to feature number 479, F503
## 2024-06-25 17:03:38.010445 INFO::Fitting model to feature number 480, F504
## 2024-06-25 17:03:38.014878 INFO::Fitting model to feature number 481, F505
## 2024-06-25 17:03:38.01912 INFO::Fitting model to feature number 482, F506
## 2024-06-25 17:03:38.023072 INFO::Fitting model to feature number 483, F507
## 2024-06-25 17:03:38.027885 INFO::Fitting model to feature number 484, F508
## 2024-06-25 17:03:38.03221 INFO::Fitting model to feature number 485, F509
## 2024-06-25 17:03:38.037155 INFO::Fitting model to feature number 486, F510
## 2024-06-25 17:03:38.041298 INFO::Fitting model to feature number 487, F511
## 2024-06-25 17:03:38.045972 INFO::Fitting model to feature number 488, F512
## 2024-06-25 17:03:38.051593 INFO::Fitting model to feature number 489, F513
## 2024-06-25 17:03:38.056821 INFO::Fitting model to feature number 490, F514
## 2024-06-25 17:03:38.061316 INFO::Fitting model to feature number 491, F515
## 2024-06-25 17:03:38.066036 INFO::Fitting model to feature number 492, F516
## 2024-06-25 17:03:38.071851 INFO::Fitting model to feature number 493, F517
## 2024-06-25 17:03:38.077662 INFO::Fitting model to feature number 494, F518
## 2024-06-25 17:03:38.083702 INFO::Fitting model to feature number 495, F519
## 2024-06-25 17:03:38.089352 INFO::Fitting model to feature number 496, F520
## 2024-06-25 17:03:38.094397 INFO::Fitting model to feature number 497, F521
## 2024-06-25 17:03:38.098424 INFO::Fitting model to feature number 498, F522
## 2024-06-25 17:03:38.102805 INFO::Fitting model to feature number 499, F523
## 2024-06-25 17:03:38.10675 INFO::Fitting model to feature number 500, F524
## 2024-06-25 17:03:38.111964 INFO::Fitting model to feature number 501, F525
## 2024-06-25 17:03:38.117552 INFO::Fitting model to feature number 502, F526
## 2024-06-25 17:03:38.122885 INFO::Fitting model to feature number 503, F527
## 2024-06-25 17:03:38.12883 INFO::Fitting model to feature number 504, F528
## 2024-06-25 17:03:38.133907 INFO::Fitting model to feature number 505, F529
## 2024-06-25 17:03:38.13773 INFO::Fitting model to feature number 506, F530
## 2024-06-25 17:03:38.141439 INFO::Fitting model to feature number 507, F531
## 2024-06-25 17:03:38.14649 INFO::Fitting model to feature number 508, F532
## 2024-06-25 17:03:38.151845 INFO::Fitting model to feature number 509, F533
## 2024-06-25 17:03:38.156045 INFO::Fitting model to feature number 510, F534
## 2024-06-25 17:03:38.159968 INFO::Fitting model to feature number 511, F535
## 2024-06-25 17:03:38.16388 INFO::Fitting model to feature number 512, F536
## 2024-06-25 17:03:38.167673 INFO::Fitting model to feature number 513, F537
## 2024-06-25 17:03:38.171583 INFO::Fitting model to feature number 514, F539
## 2024-06-25 17:03:38.176651 INFO::Fitting model to feature number 515, F540
## 2024-06-25 17:03:38.182158 INFO::Fitting model to feature number 516, F541
## 2024-06-25 17:03:38.187166 INFO::Fitting model to feature number 517, F543
## 2024-06-25 17:03:38.191769 INFO::Fitting model to feature number 518, F544
## 2024-06-25 17:03:38.197435 INFO::Fitting model to feature number 519, F545
## 2024-06-25 17:03:38.204681 INFO::Fitting model to feature number 520, F546
## 2024-06-25 17:03:38.212352 INFO::Fitting model to feature number 521, F547
## 2024-06-25 17:03:38.218035 INFO::Fitting model to feature number 522, F548
## 2024-06-25 17:03:38.22336 INFO::Fitting model to feature number 523, F549
## 2024-06-25 17:03:38.227516 INFO::Fitting model to feature number 524, F550
## 2024-06-25 17:03:38.233011 INFO::Fitting model to feature number 525, F551
## 2024-06-25 17:03:38.237462 INFO::Fitting model to feature number 526, F552
## 2024-06-25 17:03:38.24182 INFO::Fitting model to feature number 527, F553
## 2024-06-25 17:03:38.246394 INFO::Fitting model to feature number 528, F554
## 2024-06-25 17:03:38.251781 INFO::Fitting model to feature number 529, F555
## 2024-06-25 17:03:38.257123 INFO::Fitting model to feature number 530, F556
## 2024-06-25 17:03:38.262549 INFO::Fitting model to feature number 531, F557
## 2024-06-25 17:03:38.267854 INFO::Fitting model to feature number 532, F558
## 2024-06-25 17:03:38.273213 INFO::Fitting model to feature number 533, F559
## 2024-06-25 17:03:38.278129 INFO::Fitting model to feature number 534, F560
## 2024-06-25 17:03:38.282965 INFO::Fitting model to feature number 535, F561
## 2024-06-25 17:03:38.288574 INFO::Fitting model to feature number 536, F562
## 2024-06-25 17:03:38.293493 INFO::Fitting model to feature number 537, F563
## 2024-06-25 17:03:38.299592 INFO::Fitting model to feature number 538, F564
## 2024-06-25 17:03:38.305094 INFO::Fitting model to feature number 539, F566
## 2024-06-25 17:03:38.308976 INFO::Fitting model to feature number 540, F567
## 2024-06-25 17:03:38.313637 INFO::Fitting model to feature number 541, F568
## 2024-06-25 17:03:38.31754 INFO::Fitting model to feature number 542, F569
## 2024-06-25 17:03:38.321647 INFO::Fitting model to feature number 543, F570
## 2024-06-25 17:03:38.325466 INFO::Fitting model to feature number 544, F571
## 2024-06-25 17:03:38.329284 INFO::Fitting model to feature number 545, F572
## 2024-06-25 17:03:38.333492 INFO::Fitting model to feature number 546, F573
## 2024-06-25 17:03:38.337621 INFO::Fitting model to feature number 547, F574
## 2024-06-25 17:03:38.341351 INFO::Fitting model to feature number 548, F575
## 2024-06-25 17:03:38.346561 INFO::Fitting model to feature number 549, F576
## 2024-06-25 17:03:38.352348 INFO::Fitting model to feature number 550, F577
## 2024-06-25 17:03:38.356879 INFO::Fitting model to feature number 551, F578
## 2024-06-25 17:03:38.360985 INFO::Fitting model to feature number 552, F579
## 2024-06-25 17:03:38.365078 INFO::Fitting model to feature number 553, F580
## 2024-06-25 17:03:38.369903 INFO::Fitting model to feature number 554, F581
## 2024-06-25 17:03:38.374694 INFO::Fitting model to feature number 555, F582
## 2024-06-25 17:03:38.379724 INFO::Fitting model to feature number 556, F583
## 2024-06-25 17:03:38.38517 INFO::Fitting model to feature number 557, F584
## 2024-06-25 17:03:38.389921 INFO::Fitting model to feature number 558, F585
## 2024-06-25 17:03:38.393826 INFO::Fitting model to feature number 559, F586
## 2024-06-25 17:03:38.397723 INFO::Fitting model to feature number 560, F587
## 2024-06-25 17:03:38.401591 INFO::Fitting model to feature number 561, F588
## 2024-06-25 17:03:38.406723 INFO::Fitting model to feature number 562, F589
## 2024-06-25 17:03:38.411112 INFO::Fitting model to feature number 563, F590
## 2024-06-25 17:03:38.415597 INFO::Fitting model to feature number 564, F591
## 2024-06-25 17:03:38.420843 INFO::Fitting model to feature number 565, F592
## 2024-06-25 17:03:38.426018 INFO::Fitting model to feature number 566, F593
## 2024-06-25 17:03:38.431113 INFO::Fitting model to feature number 567, F594
## 2024-06-25 17:03:38.436863 INFO::Fitting model to feature number 568, F595
## 2024-06-25 17:03:38.442529 INFO::Fitting model to feature number 569, F596
## 2024-06-25 17:03:38.447078 INFO::Fitting model to feature number 570, F597
## 2024-06-25 17:03:38.45134 INFO::Fitting model to feature number 571, F598
## 2024-06-25 17:03:38.455653 INFO::Fitting model to feature number 572, F599
## 2024-06-25 17:03:38.45987 INFO::Fitting model to feature number 573, F600
## 2024-06-25 17:03:38.465553 INFO::Fitting model to feature number 574, F601
## 2024-06-25 17:03:38.470352 INFO::Fitting model to feature number 575, F602
## 2024-06-25 17:03:38.475233 INFO::Fitting model to feature number 576, F603
## 2024-06-25 17:03:38.481203 INFO::Fitting model to feature number 577, F605
## 2024-06-25 17:03:38.485727 INFO::Fitting model to feature number 578, F606
## 2024-06-25 17:03:38.490495 INFO::Fitting model to feature number 579, F607
## 2024-06-25 17:03:38.494552 INFO::Fitting model to feature number 580, F608
## 2024-06-25 17:03:38.498641 INFO::Fitting model to feature number 581, F609
## 2024-06-25 17:03:38.504666 INFO::Fitting model to feature number 582, F610
## 2024-06-25 17:03:38.509773 INFO::Fitting model to feature number 583, F611
## 2024-06-25 17:03:38.515579 INFO::Fitting model to feature number 584, F612
## 2024-06-25 17:03:38.520886 INFO::Fitting model to feature number 585, F613
## 2024-06-25 17:03:38.525721 INFO::Fitting model to feature number 586, F614
## 2024-06-25 17:03:38.530796 INFO::Fitting model to feature number 587, F615
## 2024-06-25 17:03:38.536968 INFO::Fitting model to feature number 588, F616
## 2024-06-25 17:03:38.542758 INFO::Fitting model to feature number 589, F617
## 2024-06-25 17:03:38.548542 INFO::Fitting model to feature number 590, F618
## 2024-06-25 17:03:38.553578 INFO::Fitting model to feature number 591, F619
## 2024-06-25 17:03:38.559441 INFO::Fitting model to feature number 592, F620
## 2024-06-25 17:03:38.563708 INFO::Fitting model to feature number 593, F621
## 2024-06-25 17:03:38.568434 INFO::Fitting model to feature number 594, F622
## 2024-06-25 17:03:38.574332 INFO::Fitting model to feature number 595, F623
## 2024-06-25 17:03:38.578818 INFO::Fitting model to feature number 596, F624
## 2024-06-25 17:03:38.58284 INFO::Fitting model to feature number 597, F625
## 2024-06-25 17:03:38.587355 INFO::Fitting model to feature number 598, F626
## 2024-06-25 17:03:38.592245 INFO::Fitting model to feature number 599, F627
## 2024-06-25 17:03:38.59792 INFO::Fitting model to feature number 600, F628
## 2024-06-25 17:03:38.603656 INFO::Fitting model to feature number 601, F629
## 2024-06-25 17:03:38.60809 INFO::Fitting model to feature number 602, F630
## 2024-06-25 17:03:38.614371 INFO::Fitting model to feature number 603, F631
## 2024-06-25 17:03:38.619347 INFO::Fitting model to feature number 604, F632
## 2024-06-25 17:03:38.623762 INFO::Fitting model to feature number 605, F633
## 2024-06-25 17:03:38.627802 INFO::Fitting model to feature number 606, F634
## 2024-06-25 17:03:38.63228 INFO::Fitting model to feature number 607, F635
## 2024-06-25 17:03:38.636661 INFO::Fitting model to feature number 608, F636
## 2024-06-25 17:03:38.641955 INFO::Fitting model to feature number 609, F637
## 2024-06-25 17:03:38.647901 INFO::Fitting model to feature number 610, F638
## 2024-06-25 17:03:38.652662 INFO::Fitting model to feature number 611, F639
## 2024-06-25 17:03:38.657287 INFO::Fitting model to feature number 612, F640
## 2024-06-25 17:03:38.661514 INFO::Fitting model to feature number 613, F641
## 2024-06-25 17:03:38.666092 INFO::Fitting model to feature number 614, F642
## 2024-06-25 17:03:38.671779 INFO::Fitting model to feature number 615, F643
## 2024-06-25 17:03:38.677403 INFO::Fitting model to feature number 616, F644
## 2024-06-25 17:03:38.681949 INFO::Fitting model to feature number 617, F645
## 2024-06-25 17:03:38.687505 INFO::Fitting model to feature number 618, F646
## 2024-06-25 17:03:38.691848 INFO::Fitting model to feature number 619, F647
## 2024-06-25 17:03:38.696981 INFO::Fitting model to feature number 620, F648
## 2024-06-25 17:03:38.702237 INFO::Fitting model to feature number 621, F649
## 2024-06-25 17:03:38.708316 INFO::Fitting model to feature number 622, F650
## 2024-06-25 17:03:38.71415 INFO::Fitting model to feature number 623, F651
## 2024-06-25 17:03:38.719799 INFO::Fitting model to feature number 624, F652
## 2024-06-25 17:03:38.724572 INFO::Fitting model to feature number 625, F653
## 2024-06-25 17:03:38.730568 INFO::Fitting model to feature number 626, F654
## 2024-06-25 17:03:38.735207 INFO::Fitting model to feature number 627, F655
## 2024-06-25 17:03:38.741079 INFO::Fitting model to feature number 628, F656
## 2024-06-25 17:03:38.746537 INFO::Fitting model to feature number 629, F657
## 2024-06-25 17:03:38.751283 INFO::Fitting model to feature number 630, F658
## 2024-06-25 17:03:38.757053 INFO::Fitting model to feature number 631, F659
## 2024-06-25 17:03:38.761898 INFO::Fitting model to feature number 632, F660
## 2024-06-25 17:03:38.766728 INFO::Fitting model to feature number 633, F661
## 2024-06-25 17:03:38.771856 INFO::Fitting model to feature number 634, F662
## 2024-06-25 17:03:38.776635 INFO::Fitting model to feature number 635, F663
## 2024-06-25 17:03:38.780952 INFO::Fitting model to feature number 636, F664
## 2024-06-25 17:03:38.785742 INFO::Fitting model to feature number 637, F665
## 2024-06-25 17:03:38.789795 INFO::Fitting model to feature number 638, F666
## 2024-06-25 17:03:38.793995 INFO::Fitting model to feature number 639, F667
## 2024-06-25 17:03:38.79877 INFO::Fitting model to feature number 640, F668
## 2024-06-25 17:03:38.802654 INFO::Fitting model to feature number 641, F669
## 2024-06-25 17:03:38.806615 INFO::Fitting model to feature number 642, F670
## 2024-06-25 17:03:38.812527 INFO::Fitting model to feature number 643, F671
## 2024-06-25 17:03:38.817766 INFO::Fitting model to feature number 644, F672
## 2024-06-25 17:03:38.82169 INFO::Fitting model to feature number 645, F673
## 2024-06-25 17:03:38.826522 INFO::Fitting model to feature number 646, F674
## 2024-06-25 17:03:38.830533 INFO::Fitting model to feature number 647, F675
## 2024-06-25 17:03:38.834607 INFO::Fitting model to feature number 648, F676
## 2024-06-25 17:03:38.838769 INFO::Fitting model to feature number 649, F677
## 2024-06-25 17:03:38.842636 INFO::Fitting model to feature number 650, F678
## 2024-06-25 17:03:38.846589 INFO::Fitting model to feature number 651, F679
## 2024-06-25 17:03:38.851119 INFO::Fitting model to feature number 652, F680
## 2024-06-25 17:03:38.855935 INFO::Fitting model to feature number 653, F681
## 2024-06-25 17:03:38.861323 INFO::Fitting model to feature number 654, F682
## 2024-06-25 17:03:38.867037 INFO::Fitting model to feature number 655, F683
## 2024-06-25 17:03:38.872064 INFO::Fitting model to feature number 656, F684
## 2024-06-25 17:03:38.877222 INFO::Fitting model to feature number 657, F685
## 2024-06-25 17:03:38.881657 INFO::Fitting model to feature number 658, F686
## 2024-06-25 17:03:38.886146 INFO::Fitting model to feature number 659, F687
## 2024-06-25 17:03:38.891786 INFO::Fitting model to feature number 660, F688
## 2024-06-25 17:03:38.89654 INFO::Fitting model to feature number 661, F689
## 2024-06-25 17:03:38.900267 INFO::Fitting model to feature number 662, F690
## 2024-06-25 17:03:38.904706 INFO::Fitting model to feature number 663, F691
## 2024-06-25 17:03:38.909845 INFO::Fitting model to feature number 664, F692
## 2024-06-25 17:03:38.914725 INFO::Fitting model to feature number 665, F693
## 2024-06-25 17:03:38.920823 INFO::Fitting model to feature number 666, F694
## 2024-06-25 17:03:38.926147 INFO::Fitting model to feature number 667, F695
## 2024-06-25 17:03:38.931753 INFO::Fitting model to feature number 668, F696
## 2024-06-25 17:03:38.936783 INFO::Fitting model to feature number 669, F697
## 2024-06-25 17:03:38.941791 INFO::Fitting model to feature number 670, F698
## 2024-06-25 17:03:38.946929 INFO::Fitting model to feature number 671, F699
## 2024-06-25 17:03:38.952601 INFO::Fitting model to feature number 672, F700
## 2024-06-25 17:03:38.958695 INFO::Fitting model to feature number 673, F701
## 2024-06-25 17:03:38.965985 INFO::Fitting model to feature number 674, F702
## 2024-06-25 17:03:38.974721 INFO::Fitting model to feature number 675, F704
## 2024-06-25 17:03:38.980565 INFO::Fitting model to feature number 676, F705
## 2024-06-25 17:03:38.986952 INFO::Fitting model to feature number 677, F706
## 2024-06-25 17:03:38.993247 INFO::Fitting model to feature number 678, F707
## 2024-06-25 17:03:38.998297 INFO::Fitting model to feature number 679, F708
## 2024-06-25 17:03:39.003426 INFO::Fitting model to feature number 680, F709
## 2024-06-25 17:03:39.007717 INFO::Fitting model to feature number 681, F710
## 2024-06-25 17:03:39.012296 INFO::Fitting model to feature number 682, F711
## 2024-06-25 17:03:39.016807 INFO::Fitting model to feature number 683, F712
## 2024-06-25 17:03:39.021254 INFO::Fitting model to feature number 684, F713
## 2024-06-25 17:03:39.024953 INFO::Fitting model to feature number 685, F714
## 2024-06-25 17:03:39.028644 INFO::Fitting model to feature number 686, F715
## 2024-06-25 17:03:39.032326 INFO::Fitting model to feature number 687, F716
## 2024-06-25 17:03:39.036041 INFO::Fitting model to feature number 688, F717
## 2024-06-25 17:03:39.039716 INFO::Fitting model to feature number 689, F718
## 2024-06-25 17:03:39.043785 INFO::Fitting model to feature number 690, F719
## 2024-06-25 17:03:39.049656 INFO::Fitting model to feature number 691, F720
## 2024-06-25 17:03:39.055502 INFO::Fitting model to feature number 692, F721
## 2024-06-25 17:03:39.061146 INFO::Fitting model to feature number 693, F722
## 2024-06-25 17:03:39.066985 INFO::Fitting model to feature number 694, F723
## 2024-06-25 17:03:39.072642 INFO::Fitting model to feature number 695, F724
## 2024-06-25 17:03:39.078434 INFO::Fitting model to feature number 696, F725
## 2024-06-25 17:03:39.118886 INFO::Fitting model to feature number 697, F726
## 2024-06-25 17:03:39.124048 INFO::Fitting model to feature number 698, F727
## 2024-06-25 17:03:39.129614 INFO::Fitting model to feature number 699, F728
## 2024-06-25 17:03:39.134286 INFO::Fitting model to feature number 700, F729
## 2024-06-25 17:03:39.13792 INFO::Fitting model to feature number 701, F730
## 2024-06-25 17:03:39.142957 INFO::Fitting model to feature number 702, F731
## 2024-06-25 17:03:39.147509 INFO::Fitting model to feature number 703, F732
## 2024-06-25 17:03:39.15146 INFO::Fitting model to feature number 704, F733
## 2024-06-25 17:03:39.155152 INFO::Fitting model to feature number 705, F734
## 2024-06-25 17:03:39.159883 INFO::Fitting model to feature number 706, F735
## 2024-06-25 17:03:39.164029 INFO::Fitting model to feature number 707, F736
## 2024-06-25 17:03:39.168296 INFO::Fitting model to feature number 708, F737
## 2024-06-25 17:03:39.173378 INFO::Fitting model to feature number 709, F739
## 2024-06-25 17:03:39.179791 INFO::Fitting model to feature number 710, F740
## 2024-06-25 17:03:39.185179 INFO::Fitting model to feature number 711, F741
## 2024-06-25 17:03:39.189875 INFO::Fitting model to feature number 712, F742
## 2024-06-25 17:03:39.195077 INFO::Fitting model to feature number 713, F743
## 2024-06-25 17:03:39.199524 INFO::Fitting model to feature number 714, F744
## 2024-06-25 17:03:39.204225 INFO::Fitting model to feature number 715, F745
## 2024-06-25 17:03:39.208531 INFO::Fitting model to feature number 716, F746
## 2024-06-25 17:03:39.21261 INFO::Fitting model to feature number 717, F747
## 2024-06-25 17:03:39.216963 INFO::Fitting model to feature number 718, F748
## 2024-06-25 17:03:39.222317 INFO::Fitting model to feature number 719, F749
## 2024-06-25 17:03:39.227497 INFO::Fitting model to feature number 720, F750
## 2024-06-25 17:03:39.232618 INFO::Fitting model to feature number 721, F751
## 2024-06-25 17:03:39.237342 INFO::Fitting model to feature number 722, F752
## 2024-06-25 17:03:39.241399 INFO::Fitting model to feature number 723, F753
## 2024-06-25 17:03:39.245806 INFO::Fitting model to feature number 724, F754
## 2024-06-25 17:03:39.251014 INFO::Fitting model to feature number 725, F755
## 2024-06-25 17:03:39.256112 INFO::Fitting model to feature number 726, F756
## 2024-06-25 17:03:39.261553 INFO::Fitting model to feature number 727, F757
## 2024-06-25 17:03:39.26629 INFO::Fitting model to feature number 728, F758
## 2024-06-25 17:03:39.271527 INFO::Fitting model to feature number 729, F759
## 2024-06-25 17:03:39.276099 INFO::Fitting model to feature number 730, F760
## 2024-06-25 17:03:39.281891 INFO::Fitting model to feature number 731, F761
## 2024-06-25 17:03:39.286554 INFO::Fitting model to feature number 732, F762
## 2024-06-25 17:03:39.292476 INFO::Fitting model to feature number 733, F763
## 2024-06-25 17:03:39.297198 INFO::Fitting model to feature number 734, F764
## 2024-06-25 17:03:39.302329 INFO::Fitting model to feature number 735, F765
## 2024-06-25 17:03:39.308157 INFO::Fitting model to feature number 736, F766
## 2024-06-25 17:03:39.313955 INFO::Fitting model to feature number 737, F767
## 2024-06-25 17:03:39.319191 INFO::Fitting model to feature number 738, F768
## 2024-06-25 17:03:39.323925 INFO::Fitting model to feature number 739, F769
## 2024-06-25 17:03:39.328977 INFO::Fitting model to feature number 740, F770
## 2024-06-25 17:03:39.333404 INFO::Fitting model to feature number 741, F771
## 2024-06-25 17:03:39.338369 INFO::Fitting model to feature number 742, F772
## 2024-06-25 17:03:39.343532 INFO::Fitting model to feature number 743, F773
## 2024-06-25 17:03:39.34955 INFO::Fitting model to feature number 744, F774
## 2024-06-25 17:03:39.35542 INFO::Fitting model to feature number 745, F775
## 2024-06-25 17:03:39.360308 INFO::Fitting model to feature number 746, F776
## 2024-06-25 17:03:39.364335 INFO::Fitting model to feature number 747, F777
## 2024-06-25 17:03:39.368608 INFO::Fitting model to feature number 748, F778
## 2024-06-25 17:03:39.372829 INFO::Fitting model to feature number 749, F779
## 2024-06-25 17:03:39.37705 INFO::Fitting model to feature number 750, F780
## 2024-06-25 17:03:39.38122 INFO::Fitting model to feature number 751, F781
## 2024-06-25 17:03:39.385298 INFO::Fitting model to feature number 752, F782
## 2024-06-25 17:03:39.390451 INFO::Fitting model to feature number 753, F783
## 2024-06-25 17:03:39.395188 INFO::Fitting model to feature number 754, F784
## 2024-06-25 17:03:39.399225 INFO::Fitting model to feature number 755, F785
## 2024-06-25 17:03:39.403968 INFO::Fitting model to feature number 756, F786
## 2024-06-25 17:03:39.40881 INFO::Fitting model to feature number 757, F787
## 2024-06-25 17:03:39.412927 INFO::Fitting model to feature number 758, F788
## 2024-06-25 17:03:39.41695 INFO::Fitting model to feature number 759, F789
## 2024-06-25 17:03:39.421241 INFO::Fitting model to feature number 760, F790
## 2024-06-25 17:03:39.427088 INFO::Fitting model to feature number 761, F791
## 2024-06-25 17:03:39.433175 INFO::Fitting model to feature number 762, F792
## 2024-06-25 17:03:39.438556 INFO::Fitting model to feature number 763, F793
## 2024-06-25 17:03:39.443761 INFO::Fitting model to feature number 764, F794
## 2024-06-25 17:03:39.448397 INFO::Fitting model to feature number 765, F795
## 2024-06-25 17:03:39.4528 INFO::Fitting model to feature number 766, F796
## 2024-06-25 17:03:39.456637 INFO::Fitting model to feature number 767, F797
## 2024-06-25 17:03:39.460681 INFO::Fitting model to feature number 768, F798
## 2024-06-25 17:03:39.466379 INFO::Fitting model to feature number 769, F799
## 2024-06-25 17:03:39.471943 INFO::Fitting model to feature number 770, F800
## 2024-06-25 17:03:39.476437 INFO::Fitting model to feature number 771, F801
## 2024-06-25 17:03:39.480834 INFO::Fitting model to feature number 772, F802
## 2024-06-25 17:03:39.485356 INFO::Fitting model to feature number 773, F803
## 2024-06-25 17:03:39.4892 INFO::Fitting model to feature number 774, F804
## 2024-06-25 17:03:39.493318 INFO::Fitting model to feature number 775, F805
## 2024-06-25 17:03:39.497197 INFO::Fitting model to feature number 776, F806
## 2024-06-25 17:03:39.501734 INFO::Fitting model to feature number 777, F808
## 2024-06-25 17:03:39.505455 INFO::Fitting model to feature number 778, F809
## 2024-06-25 17:03:39.509996 INFO::Fitting model to feature number 779, F810
## 2024-06-25 17:03:39.514101 INFO::Fitting model to feature number 780, F811
## 2024-06-25 17:03:39.518029 INFO::Fitting model to feature number 781, F812
## 2024-06-25 17:03:39.521627 INFO::Fitting model to feature number 782, F813
## 2024-06-25 17:03:39.525255 INFO::Fitting model to feature number 783, F814
## 2024-06-25 17:03:39.529688 INFO::Fitting model to feature number 784, F815
## 2024-06-25 17:03:39.533967 INFO::Fitting model to feature number 785, F816
## 2024-06-25 17:03:39.537888 INFO::Fitting model to feature number 786, F817
## 2024-06-25 17:03:39.541589 INFO::Fitting model to feature number 787, F818
## 2024-06-25 17:03:39.547018 INFO::Fitting model to feature number 788, F819
## 2024-06-25 17:03:39.551061 INFO::Fitting model to feature number 789, F820
## 2024-06-25 17:03:39.555474 INFO::Fitting model to feature number 790, F821
## 2024-06-25 17:03:39.559401 INFO::Fitting model to feature number 791, F822
## 2024-06-25 17:03:39.563186 INFO::Fitting model to feature number 792, F823
## 2024-06-25 17:03:39.568526 INFO::Fitting model to feature number 793, F824
## 2024-06-25 17:03:39.573202 INFO::Fitting model to feature number 794, F825
## 2024-06-25 17:03:39.576872 INFO::Fitting model to feature number 795, F826
## 2024-06-25 17:03:39.582444 INFO::Fitting model to feature number 796, F827
## 2024-06-25 17:03:39.587841 INFO::Fitting model to feature number 797, F828
## 2024-06-25 17:03:39.592674 INFO::Fitting model to feature number 798, F829
## 2024-06-25 17:03:39.598011 INFO::Fitting model to feature number 799, F830
## 2024-06-25 17:03:39.602593 INFO::Fitting model to feature number 800, F831
## 2024-06-25 17:03:39.606296 INFO::Fitting model to feature number 801, F832
## 2024-06-25 17:03:39.610187 INFO::Fitting model to feature number 802, F833
## 2024-06-25 17:03:39.615863 INFO::Fitting model to feature number 803, F834
## 2024-06-25 17:03:39.620036 INFO::Fitting model to feature number 804, F835
## 2024-06-25 17:03:39.624311 INFO::Fitting model to feature number 805, F836
## 2024-06-25 17:03:39.629794 INFO::Fitting model to feature number 806, F837
## 2024-06-25 17:03:39.63592 INFO::Fitting model to feature number 807, F838
## 2024-06-25 17:03:39.640811 INFO::Fitting model to feature number 808, F839
## 2024-06-25 17:03:39.645397 INFO::Fitting model to feature number 809, F840
## 2024-06-25 17:03:39.650111 INFO::Fitting model to feature number 810, F841
## 2024-06-25 17:03:39.654795 INFO::Fitting model to feature number 811, F842
## 2024-06-25 17:03:39.660898 INFO::Fitting model to feature number 812, F843
## 2024-06-25 17:03:39.667127 INFO::Fitting model to feature number 813, F844
## 2024-06-25 17:03:39.671991 INFO::Fitting model to feature number 814, F845
## 2024-06-25 17:03:39.676006 INFO::Fitting model to feature number 815, F846
## 2024-06-25 17:03:39.68082 INFO::Fitting model to feature number 816, F847
## 2024-06-25 17:03:39.686667 INFO::Fitting model to feature number 817, F848
## 2024-06-25 17:03:39.692432 INFO::Fitting model to feature number 818, F849
## 2024-06-25 17:03:39.696484 INFO::Fitting model to feature number 819, F850
## 2024-06-25 17:03:39.700733 INFO::Fitting model to feature number 820, F851
## 2024-06-25 17:03:39.705438 INFO::Fitting model to feature number 821, F852
## 2024-06-25 17:03:39.709599 INFO::Fitting model to feature number 822, F853
## 2024-06-25 17:03:39.714763 INFO::Fitting model to feature number 823, F854
## 2024-06-25 17:03:39.720505 INFO::Fitting model to feature number 824, F855
## 2024-06-25 17:03:39.727941 INFO::Fitting model to feature number 825, F856
## 2024-06-25 17:03:39.736931 INFO::Fitting model to feature number 826, F857
## 2024-06-25 17:03:39.741864 INFO::Fitting model to feature number 827, F858
## 2024-06-25 17:03:39.746066 INFO::Fitting model to feature number 828, F859
## 2024-06-25 17:03:39.750254 INFO::Fitting model to feature number 829, F860
## 2024-06-25 17:03:39.755569 INFO::Fitting model to feature number 830, F861
## 2024-06-25 17:03:39.760582 INFO::Fitting model to feature number 831, F862
## 2024-06-25 17:03:39.766572 INFO::Fitting model to feature number 832, F863
## 2024-06-25 17:03:39.772582 INFO::Fitting model to feature number 833, F864
## 2024-06-25 17:03:39.777603 INFO::Fitting model to feature number 834, F865
## 2024-06-25 17:03:39.78163 INFO::Fitting model to feature number 835, F866
## 2024-06-25 17:03:39.786397 INFO::Fitting model to feature number 836, F867
## 2024-06-25 17:03:39.790762 INFO::Fitting model to feature number 837, F868
## 2024-06-25 17:03:39.794939 INFO::Fitting model to feature number 838, F869
## 2024-06-25 17:03:39.800793 INFO::Fitting model to feature number 839, F870
## 2024-06-25 17:03:39.805547 INFO::Fitting model to feature number 840, F871
## 2024-06-25 17:03:39.811447 INFO::Fitting model to feature number 841, F872
## 2024-06-25 17:03:39.816955 INFO::Fitting model to feature number 842, F873
## 2024-06-25 17:03:39.822823 INFO::Fitting model to feature number 843, F874
## 2024-06-25 17:03:39.828369 INFO::Fitting model to feature number 844, F875
## 2024-06-25 17:03:39.832403 INFO::Fitting model to feature number 845, F876
## 2024-06-25 17:03:39.837821 INFO::Fitting model to feature number 846, F877
## 2024-06-25 17:03:39.842358 INFO::Fitting model to feature number 847, F878
## 2024-06-25 17:03:39.847931 INFO::Fitting model to feature number 848, F879
## 2024-06-25 17:03:39.854215 INFO::Fitting model to feature number 849, F880
## 2024-06-25 17:03:39.85914 INFO::Fitting model to feature number 850, F881
## 2024-06-25 17:03:39.863909 INFO::Fitting model to feature number 851, F882
## 2024-06-25 17:03:39.869515 INFO::Fitting model to feature number 852, F883
## 2024-06-25 17:03:39.874362 INFO::Fitting model to feature number 853, F884
## 2024-06-25 17:03:39.879373 INFO::Fitting model to feature number 854, F885
## 2024-06-25 17:03:39.88576 INFO::Fitting model to feature number 855, F886
## 2024-06-25 17:03:39.890758 INFO::Fitting model to feature number 856, F887
## 2024-06-25 17:03:39.896491 INFO::Fitting model to feature number 857, F888
## 2024-06-25 17:03:39.901395 INFO::Fitting model to feature number 858, F889
## 2024-06-25 17:03:39.907313 INFO::Fitting model to feature number 859, F890
## 2024-06-25 17:03:39.912206 INFO::Fitting model to feature number 860, F891
## 2024-06-25 17:03:39.917135 INFO::Fitting model to feature number 861, F892
## 2024-06-25 17:03:39.922979 INFO::Fitting model to feature number 862, F893
## 2024-06-25 17:03:39.927654 INFO::Fitting model to feature number 863, F894
## 2024-06-25 17:03:39.931739 INFO::Fitting model to feature number 864, F895
## 2024-06-25 17:03:39.9359 INFO::Fitting model to feature number 865, F896
## 2024-06-25 17:03:39.941269 INFO::Fitting model to feature number 866, F897
## 2024-06-25 17:03:39.94679 INFO::Fitting model to feature number 867, F898
## 2024-06-25 17:03:39.952054 INFO::Fitting model to feature number 868, F899
## 2024-06-25 17:03:39.957916 INFO::Fitting model to feature number 869, F900
## 2024-06-25 17:03:40.166142 INFO::Counting total values for each feature
## 2024-06-25 17:03:40.29724 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-06-25 17:03:40.413782 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-06-25 17:03:40.534613 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-06-25 17:03:40.645859 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-06-25 17:03:40.690305 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-06-25 17:03:40.72976 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-06-25 17:03:40.756715 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2024-06-25 17:03:40.769496 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-06-25 17:03:40.789519 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-06-25 17:03:40.791418 INFO::Plotting data for metadata number 1, diagnosis
## 2024-06-25 17:03:40.875598 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-06-25 17:03:41.212275 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-06-25 17:03:41.452852 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-06-25 17:03:41.63515 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-06-25 17:03:41.831317 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-06-25 17:03:42.034933 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-06-25 17:03:42.224061 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-06-25 17:03:42.428348 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-06-25 17:03:42.63178 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-06-25 17:03:42.842783 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-06-25 17:03:43.052204 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-06-25 17:03:43.364746 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-06-25 17:03:43.59289 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-06-25 17:03:43.810424 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-06-25 17:03:44.028344 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-06-25 17:03:44.253 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-06-25 17:03:44.497327 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-06-25 17:03:44.696656 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-06-25 17:03:44.890687 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-06-25 17:03:45.096095 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-06-25 17:03:45.301485 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-06-25 17:03:45.51169 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-06-25 17:03:45.726731 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-06-25 17:03:45.922893 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-06-25 17:03:46.129662 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-06-25 17:03:46.334802 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-06-25 17:03:46.556087 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-06-25 17:03:46.791709 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-06-25 17:03:47.000131 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-06-25 17:03:47.20164 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-06-25 17:03:47.400258 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-06-25 17:03:47.607155 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-06-25 17:03:47.80321 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-06-25 17:03:48.021529 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-06-25 17:03:48.215881 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-06-25 17:03:48.4078 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-06-25 17:03:48.614594 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-06-25 17:03:48.831602 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-06-25 17:03:49.058041 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-06-25 17:03:49.241237 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-06-25 17:03:49.427461 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-06-25 17:03:49.63029 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-06-25 17:03:49.826859 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-06-25 17:03:50.020602 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-06-25 17:03:50.20076 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-06-25 17:03:50.397319 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-06-25 17:03:50.602832 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-06-25 17:03:50.811305 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-06-25 17:03:51.014563 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-06-25 17:03:51.224897 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-06-25 17:03:51.4059 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-06-25 17:03:51.596286 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-06-25 17:03:51.788539 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-06-25 17:03:52.001896 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-06-25 17:03:52.20289 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-06-25 17:03:52.394345 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-06-25 17:03:52.592364 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-06-25 17:03:52.801888 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-06-25 17:03:53.012099 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-06-25 17:03:53.218755 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-06-25 17:03:53.427684 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-06-25 17:03:53.62501 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-06-25 17:03:53.816068 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-06-25 17:03:54.023746 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-06-25 17:03:54.23865 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-06-25 17:03:54.470242 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-06-25 17:03:54.672283 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-06-25 17:03:54.8845 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-06-25 17:03:55.093692 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-06-25 17:03:55.312297 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-06-25 17:03:55.545554 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-06-25 17:03:55.762837 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-06-25 17:03:55.965854 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-06-25 17:03:56.182312 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-06-25 17:03:56.401622 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-06-25 17:03:56.630367 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-06-25 17:03:56.840706 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-06-25 17:03:57.040649 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-06-25 17:03:57.253551 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-06-25 17:03:57.456235 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-06-25 17:03:57.635194 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-06-25 17:03:57.833181 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-06-25 17:03:58.034749 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-06-25 17:03:58.246546 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-06-25 17:03:58.45072 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-06-25 17:03:58.661324 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-06-25 17:03:58.872109 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-06-25 17:03:59.05495 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-06-25 17:03:59.253103 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-06-25 17:03:59.459976 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-06-25 17:03:59.651708 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-06-25 17:03:59.876997 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-06-25 17:04:00.076262 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-06-25 17:04:00.258253 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-06-25 17:04:00.475338 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-06-25 17:04:00.664935 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-06-25 17:04:00.875051 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-06-25 17:04:01.075017 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-06-25 17:04:01.274155 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-06-25 17:04:01.473535 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-06-25 17:04:01.653446 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-06-25 17:04:01.845853 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-06-25 17:04:02.049322 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-06-25 17:04:02.254706 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-06-25 17:04:02.458894 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-06-25 17:04:02.66841 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-06-25 17:04:02.878133 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-06-25 17:04:03.085474 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-06-25 17:04:03.288402 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-06-25 17:04:03.487707 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-06-25 17:04:03.683302 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-06-25 17:04:03.870817 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-06-25 17:04:04.07492 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-06-25 17:04:04.265279 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-06-25 17:04:04.443216 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-06-25 17:04:04.641527 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-06-25 17:04:04.82287 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-06-25 17:04:05.001989 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-06-25 17:04:05.187204 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-06-25 17:04:05.382908 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-06-25 17:04:05.591869 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-06-25 17:04:05.800592 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-06-25 17:04:05.992596 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-06-25 17:04:06.238245 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-06-25 17:04:06.422069 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-06-25 17:04:06.613003 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-06-25 17:04:06.808925 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-06-25 17:04:07.01994 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-06-25 17:04:07.252524 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-06-25 17:04:07.464086 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-06-25 17:04:07.651482 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-06-25 17:04:07.852379 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-06-25 17:04:08.047553 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-06-25 17:04:08.214206 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-06-25 17:04:08.437642 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-06-25 17:04:08.626184 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-06-25 17:04:08.82575 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-06-25 17:04:09.021164 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-06-25 17:04:09.213294 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-06-25 17:04:09.434237 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-06-25 17:04:09.617668 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-06-25 17:04:09.799384 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-06-25 17:04:10.004864 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-06-25 17:04:10.204577 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-06-25 17:04:10.438108 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-06-25 17:04:10.651679 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-06-25 17:04:10.850421 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-06-25 17:04:11.05196 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-06-25 17:04:11.238663 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-06-25 17:04:11.437465 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-06-25 17:04:11.650665 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-06-25 17:04:11.83517 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-06-25 17:04:12.028821 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-06-25 17:04:12.21626 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-06-25 17:04:12.431548 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-06-25 17:04:12.652423 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-06-25 17:04:12.845227 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-06-25 17:04:13.053073 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-06-25 17:04:13.250428 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-06-25 17:04:13.435243 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-06-25 17:04:13.620297 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-06-25 17:04:13.840914 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-06-25 17:04:14.04867 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-06-25 17:04:14.218643 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-06-25 17:04:14.418316 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-06-25 17:04:14.629269 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-06-25 17:04:14.847307 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-06-25 17:04:15.040469 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-06-25 17:04:15.221528 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-06-25 17:04:15.406474 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-06-25 17:04:15.590149 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-06-25 17:04:15.786928 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-06-25 17:04:15.984551 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-06-25 17:04:16.174915 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-06-25 17:04:16.37058 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-06-25 17:04:16.567301 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-06-25 17:04:16.771673 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-06-25 17:04:16.966372 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-06-25 17:04:17.147982 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-06-25 17:04:17.338941 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-06-25 17:04:17.527276 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-06-25 17:04:17.721193 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-06-25 17:04:17.928307 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-06-25 17:04:18.112807 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-06-25 17:04:18.289798 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-06-25 17:04:18.46417 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-06-25 17:04:18.655491 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-06-25 17:04:18.866443 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-06-25 17:04:19.044366 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-06-25 17:04:19.212295 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-06-25 17:04:19.380143 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-06-25 17:04:19.550874 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-06-25 17:04:19.739163 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-06-25 17:04:19.895096 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-06-25 17:04:20.061374 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-06-25 17:04:20.22435 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-06-25 17:04:20.384913 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-06-25 17:04:20.581529 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-06-25 17:04:20.801995 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-06-25 17:04:20.99898 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-06-25 17:04:21.17666 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-06-25 17:04:21.382163 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-06-25 17:04:21.616567 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-06-25 17:04:21.910847 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-06-25 17:04:22.164747 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-06-25 17:04:22.48845 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-06-25 17:04:22.678243 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-06-25 17:04:22.939634 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-06-25 17:04:23.249188 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-06-25 17:04:23.494266 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-06-25 17:04:23.817606 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-06-25 17:04:24.002575 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-06-25 17:04:24.231424 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-06-25 17:04:24.547245 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-06-25 17:04:24.829937 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-06-25 17:04:25.122245 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-06-25 17:04:25.333247 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-06-25 17:04:25.682056 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-06-25 17:04:25.935838 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-06-25 17:04:26.227907 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-06-25 17:04:26.530221 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-06-25 17:04:26.803408 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-06-25 17:04:27.125488 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-06-25 17:04:27.392359 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-06-25 17:04:27.752837 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-06-25 17:04:28.032357 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-06-25 17:04:28.241681 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-06-25 17:04:28.453145 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-06-25 17:04:28.672208 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-06-25 17:04:28.886894 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-06-25 17:04:29.095929 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-06-25 17:04:29.279165 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-06-25 17:04:29.474896 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-06-25 17:04:29.679236 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-06-25 17:04:30.649972 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-06-25 17:04:30.835629 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-06-25 17:04:31.030739 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-06-25 17:04:31.211779 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-06-25 17:04:31.406951 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-06-25 17:04:31.633126 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-06-25 17:04:31.835711 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-06-25 17:04:32.020172 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-06-25 17:04:32.200912 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-06-25 17:04:32.378582 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-06-25 17:04:32.551154 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-06-25 17:04:32.740208 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-06-25 17:04:32.916639 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-06-25 17:04:33.096377 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-06-25 17:04:33.290118 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-06-25 17:04:33.46878 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-06-25 17:04:33.669547 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-06-25 17:04:33.837837 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-06-25 17:04:34.005291 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-06-25 17:04:34.171368 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-06-25 17:04:34.352295 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-06-25 17:04:34.524147 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-06-25 17:04:34.71675 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-06-25 17:04:34.900055 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-06-25 17:04:35.088636 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-06-25 17:04:35.26848 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-06-25 17:04:35.449671 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-06-25 17:04:35.640014 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-06-25 17:04:35.803557 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-06-25 17:04:35.973579 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-06-25 17:04:36.1526 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-06-25 17:04:36.339284 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-06-25 17:04:36.518679 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-06-25 17:04:36.682194 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-06-25 17:04:36.852796 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-06-25 17:04:37.020666 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-06-25 17:04:37.186728 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-06-25 17:04:37.36901 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-06-25 17:04:37.549875 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-06-25 17:04:37.725051 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-06-25 17:04:37.904054 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-06-25 17:04:38.075336 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-06-25 17:04:38.251151 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-06-25 17:04:38.438771 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-06-25 17:04:38.604469 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-06-25 17:04:38.780314 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-06-25 17:04:38.971574 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-06-25 17:04:39.150565 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-06-25 17:04:39.321074 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-06-25 17:04:39.502975 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-06-25 17:04:39.669548 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-06-25 17:04:39.856714 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-06-25 17:04:40.0411 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-06-25 17:04:40.228706 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-06-25 17:04:40.414599 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-06-25 17:04:40.568323 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-06-25 17:04:40.742675 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-06-25 17:04:40.917726 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-06-25 17:04:41.100295 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-06-25 17:04:41.309135 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-06-25 17:04:41.458866 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-06-25 17:04:41.626907 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-06-25 17:04:41.813693 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-06-25 17:04:42.018476 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-06-25 17:04:42.213749 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-06-25 17:04:42.422547 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-06-25 17:04:42.607137 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-06-25 17:04:42.791868 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-06-25 17:04:42.972561 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-06-25 17:04:43.17171 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-06-25 17:04:43.3617 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-06-25 17:04:43.536609 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-06-25 17:04:43.710165 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-06-25 17:04:43.89714 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-06-25 17:04:44.078708 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-06-25 17:04:44.265813 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-06-25 17:04:44.419659 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-06-25 17:04:44.606841 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-06-25 17:04:44.795274 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-06-25 17:04:44.958771 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-06-25 17:04:45.152104 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-06-25 17:04:45.340947 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-06-25 17:04:45.520193 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-06-25 17:04:45.709361 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-06-25 17:04:45.882776 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-06-25 17:04:46.052001 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-06-25 17:04:46.24896 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-06-25 17:04:46.42693 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-06-25 17:04:46.599727 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-06-25 17:04:46.791757 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-06-25 17:04:46.993557 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-06-25 17:04:47.194886 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-06-25 17:04:47.386229 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-06-25 17:04:47.578293 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-06-25 17:04:47.775207 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-06-25 17:04:47.994378 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-06-25 17:04:48.210495 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-06-25 17:04:48.409929 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-06-25 17:04:48.604124 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-06-25 17:04:48.812092 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-06-25 17:04:49.028461 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-06-25 17:04:49.225761 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-06-25 17:04:49.435926 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-06-25 17:04:49.63624 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-06-25 17:04:49.824491 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-06-25 17:04:50.024695 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-06-25 17:04:50.227633 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-06-25 17:04:50.439851 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-06-25 17:04:50.631636 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-06-25 17:04:50.839676 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-06-25 17:04:51.054299 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-06-25 17:04:51.261524 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-06-25 17:04:51.521973 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-06-25 17:04:51.714682 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-06-25 17:04:51.902466 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-06-25 17:04:52.104277 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-06-25 17:04:52.297102 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-06-25 17:04:52.525402 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-06-25 17:04:52.768298 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-06-25 17:04:52.978534 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-06-25 17:04:53.171826 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-06-25 17:04:53.37324 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-06-25 17:04:53.582541 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-06-25 17:04:53.797475 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-06-25 17:04:53.97286 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-06-25 17:04:54.136703 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-06-25 17:04:54.322207 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-06-25 17:04:54.509773 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-06-25 17:04:54.738212 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-06-25 17:04:54.925014 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-06-25 17:04:55.103421 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-06-25 17:04:55.312829 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-06-25 17:04:55.511957 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-06-25 17:04:55.716009 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-06-25 17:04:55.943844 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-06-25 17:04:56.131978 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-06-25 17:04:56.328916 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-06-25 17:04:56.523885 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-06-25 17:04:56.732785 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-06-25 17:04:56.932485 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-06-25 17:04:57.128738 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-06-25 17:04:57.326344 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-06-25 17:04:57.527229 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-06-25 17:04:57.70956 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-06-25 17:04:57.935435 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-06-25 17:04:58.131691 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-06-25 17:04:58.325427 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-06-25 17:04:58.518783 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-06-25 17:04:58.728069 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-06-25 17:04:58.939111 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-06-25 17:04:59.156968 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-06-25 17:04:59.3484 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-06-25 17:04:59.531152 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-06-25 17:04:59.722933 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-06-25 17:04:59.908009 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-06-25 17:05:00.125497 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-06-25 17:05:00.309119 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-06-25 17:05:00.49334 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-06-25 17:05:00.709622 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-06-25 17:05:00.923091 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-06-25 17:05:01.127906 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-06-25 17:05:01.348943 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-06-25 17:05:01.545661 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-06-25 17:05:01.744447 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-06-25 17:05:01.945414 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-06-25 17:05:02.13333 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-06-25 17:05:02.356098 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-06-25 17:05:02.564428 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-06-25 17:05:02.766598 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-06-25 17:05:02.975438 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-06-25 17:05:03.164904 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-06-25 17:05:03.389768 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-06-25 17:05:03.609833 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-06-25 17:05:03.810764 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-06-25 17:05:04.012974 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-06-25 17:05:04.214231 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-06-25 17:05:04.463825 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-06-25 17:05:04.68336 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-06-25 17:05:04.893133 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-06-25 17:05:05.125049 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-06-25 17:05:05.336158 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-06-25 17:05:05.554928 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-06-25 17:05:05.776985 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-06-25 17:05:05.977575 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-06-25 17:05:06.181993 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-06-25 17:05:06.400582 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-06-25 17:05:06.604764 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-06-25 17:05:06.853944 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-06-25 17:05:07.065125 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-06-25 17:05:07.251626 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-06-25 17:05:07.468961 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-06-25 17:05:07.690236 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-06-25 17:05:07.918893 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-06-25 17:05:08.133919 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-06-25 17:05:08.338716 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-06-25 17:05:08.531905 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-06-25 17:05:08.731563 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-06-25 17:05:08.928491 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-06-25 17:05:09.103569 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-06-25 17:05:09.288463 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-06-25 17:05:09.464898 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-06-25 17:05:09.652553 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-06-25 17:05:09.852528 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-06-25 17:05:10.0473 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-06-25 17:05:10.237294 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-06-25 17:05:10.426954 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-06-25 17:05:10.654509 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-06-25 17:05:10.867426 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-06-25 17:05:11.084423 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-06-25 17:05:11.275677 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-06-25 17:05:11.476912 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-06-25 17:05:11.683701 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-06-25 17:05:11.88025 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-06-25 17:05:12.086767 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-06-25 17:05:12.26895 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-06-25 17:05:12.451682 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-06-25 17:05:12.656161 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-06-25 17:05:12.839389 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-06-25 17:05:13.04481 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-06-25 17:05:13.23587 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-06-25 17:05:13.415186 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-06-25 17:05:13.588821 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-06-25 17:05:13.755718 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-06-25 17:05:14.023659 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-06-25 17:05:14.214437 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-06-25 17:05:14.411791 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-06-25 17:05:14.61046 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-06-25 17:05:14.8025 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-06-25 17:05:14.98179 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-06-25 17:05:15.191155 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-06-25 17:05:15.385257 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-06-25 17:05:15.5789 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-06-25 17:05:15.766861 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-06-25 17:05:15.962305 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-06-25 17:05:16.165031 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-06-25 17:05:16.365919 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-06-25 17:05:16.54756 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-06-25 17:05:16.723933 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-06-25 17:05:16.887375 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-06-25 17:05:17.066618 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-06-25 17:05:17.2729 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-06-25 17:05:17.457339 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-06-25 17:05:17.645256 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-06-25 17:05:17.831552 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-06-25 17:05:18.033499 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-06-25 17:05:18.247757 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-06-25 17:05:18.443249 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-06-25 17:05:18.633778 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-06-25 17:05:18.833624 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-06-25 17:05:19.022281 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-06-25 17:05:19.247932 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-06-25 17:05:19.455884 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-06-25 17:05:19.672683 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-06-25 17:05:19.876363 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-06-25 17:05:20.070482 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-06-25 17:05:20.250762 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-06-25 17:05:20.451451 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-06-25 17:05:20.642731 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-06-25 17:05:20.82444 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-06-25 17:05:21.011586 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-06-25 17:05:21.18907 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-06-25 17:05:21.38218 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-06-25 17:05:21.562518 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-06-25 17:05:21.745122 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-06-25 17:05:21.939162 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-06-25 17:05:22.099977 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-06-25 17:05:22.306952 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-06-25 17:05:22.502934 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-06-25 17:05:22.686358 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-06-25 17:05:22.864407 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-06-25 17:05:23.065323 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-06-25 17:05:23.265216 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-06-25 17:05:23.473422 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-06-25 17:05:23.670435 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-06-25 17:05:23.866104 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-06-25 17:05:24.060511 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-06-25 17:05:24.273531 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-06-25 17:05:24.498957 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-06-25 17:05:24.697264 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-06-25 17:05:24.895237 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-06-25 17:05:25.067311 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-06-25 17:05:25.267221 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-06-25 17:05:25.476938 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-06-25 17:05:25.662295 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-06-25 17:05:25.836569 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-06-25 17:05:26.03196 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-06-25 17:05:26.229354 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-06-25 17:05:26.430791 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-06-25 17:05:26.6613 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-06-25 17:05:26.855222 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-06-25 17:05:27.059563 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-06-25 17:05:27.277227 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-06-25 17:05:27.483623 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-06-25 17:05:27.677644 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-06-25 17:05:27.858762 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-06-25 17:05:28.018462 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-06-25 17:05:28.20135 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-06-25 17:05:28.383039 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-06-25 17:05:28.589971 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-06-25 17:05:28.780124 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-06-25 17:05:28.965028 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-06-25 17:05:29.16751 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-06-25 17:05:29.371887 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-06-25 17:05:29.583197 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-06-25 17:05:29.767155 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-06-25 17:05:29.967649 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-06-25 17:05:30.1833 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-06-25 17:05:30.369502 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-06-25 17:05:30.558848 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-06-25 17:05:30.755514 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-06-25 17:05:30.949159 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-06-25 17:05:31.130414 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-06-25 17:05:31.316839 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-06-25 17:05:31.488821 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-06-25 17:05:31.726251 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-06-25 17:05:31.912162 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-06-25 17:05:32.101333 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-06-25 17:05:32.283359 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-06-25 17:05:32.475033 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-06-25 17:05:32.678676 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-06-25 17:05:32.856405 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-06-25 17:05:33.028992 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-06-25 17:05:33.245373 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-06-25 17:05:35.558668 INFO::Plotting data for metadata number 2, antibiotics
## 2024-06-25 17:05:35.561532 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-06-25 17:05:35.77074 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-06-25 17:05:36.036185 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-06-25 17:05:36.250368 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-06-25 17:05:36.477074 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-06-25 17:05:36.71001 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-06-25 17:05:36.945036 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-06-25 17:05:37.183845 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-06-25 17:05:37.431209 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-06-25 17:05:37.682991 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-06-25 17:05:37.900057 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-06-25 17:05:38.135954 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-06-25 17:05:38.358689 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-06-25 17:05:38.624161 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-06-25 17:05:38.847222 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-06-25 17:05:39.077805 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-06-25 17:05:39.312874 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-06-25 17:05:39.539165 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-06-25 17:05:39.800142 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-06-25 17:05:40.008072 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-06-25 17:05:40.228915 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-06-25 17:05:40.447295 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-06-25 17:05:40.664061 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-06-25 17:05:40.899117 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-06-25 17:05:41.088312 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-06-25 17:05:41.28471 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-06-25 17:05:41.481308 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-06-25 17:05:41.701404 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-06-25 17:05:41.932668 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-06-25 17:05:42.141157 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-06-25 17:05:42.344741 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-06-25 17:05:42.537648 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-06-25 17:05:42.725949 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-06-25 17:05:42.940228 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-06-25 17:05:43.114093 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-06-25 17:05:43.318292 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-06-25 17:05:43.532253 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-06-25 17:05:43.745271 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-06-25 17:05:43.96033 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-06-25 17:05:44.161075 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-06-25 17:05:44.372991 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-06-25 17:05:44.578126 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-06-25 17:05:44.800111 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-06-25 17:05:45.003513 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-06-25 17:05:45.174529 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-06-25 17:05:45.365682 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-06-25 17:05:45.561209 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-06-25 17:05:45.792154 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-06-25 17:05:45.986102 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-06-25 17:05:46.181594 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-06-25 17:05:46.370205 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-06-25 17:05:46.560605 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-06-25 17:05:46.789379 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-06-25 17:05:46.986187 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-06-25 17:05:47.186599 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-06-25 17:05:47.392454 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-06-25 17:05:47.61072 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-06-25 17:05:47.847666 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-06-25 17:05:48.067603 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-06-25 17:05:48.253781 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-06-25 17:05:48.442481 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-06-25 17:05:48.64021 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-06-25 17:05:48.881843 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-06-25 17:05:49.09731 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-06-25 17:05:49.279749 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-06-25 17:05:49.470614 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-06-25 17:05:49.66594 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-06-25 17:05:49.886177 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-06-25 17:05:50.078644 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-06-25 17:05:50.28315 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-06-25 17:05:50.487553 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-06-25 17:05:50.723444 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-06-25 17:05:50.965196 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-06-25 17:05:51.159287 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-06-25 17:05:51.376088 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-06-25 17:05:51.602021 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-06-25 17:05:51.811725 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-06-25 17:05:52.04524 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-06-25 17:05:52.263209 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-06-25 17:05:52.497822 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-06-25 17:05:52.710797 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-06-25 17:05:52.931313 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-06-25 17:05:53.132727 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-06-25 17:05:53.327634 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-06-25 17:05:53.524395 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-06-25 17:05:53.726729 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-06-25 17:05:53.951957 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-06-25 17:05:54.134872 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-06-25 17:05:54.329704 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-06-25 17:05:54.529116 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-06-25 17:05:54.706422 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-06-25 17:05:54.932214 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-06-25 17:05:55.137586 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-06-25 17:05:55.336716 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-06-25 17:05:55.547737 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-06-25 17:05:55.732571 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-06-25 17:05:55.980766 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-06-25 17:05:56.183902 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-06-25 17:05:56.372422 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-06-25 17:05:56.584691 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-06-25 17:05:56.771459 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-06-25 17:05:56.991565 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-06-25 17:05:57.197064 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-06-25 17:05:57.40362 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-06-25 17:05:57.596466 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-06-25 17:05:57.876609 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-06-25 17:05:58.07832 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-06-25 17:05:58.282069 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-06-25 17:05:58.487594 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-06-25 17:05:58.688088 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-06-25 17:05:58.926872 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-06-25 17:05:59.12314 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-06-25 17:05:59.327975 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-06-25 17:05:59.52761 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-06-25 17:05:59.72585 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-06-25 17:05:59.935298 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-06-25 17:06:00.125812 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-06-25 17:06:00.331341 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-06-25 17:06:00.561116 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-06-25 17:06:00.758788 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-06-25 17:06:00.969594 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-06-25 17:06:01.163638 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-06-25 17:06:01.374924 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-06-25 17:06:01.598652 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-06-25 17:06:01.836146 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-06-25 17:06:02.074134 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-06-25 17:06:02.307549 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-06-25 17:06:02.535147 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-06-25 17:06:02.752677 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-06-25 17:06:02.965362 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-06-25 17:06:03.200493 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-06-25 17:06:03.411721 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-06-25 17:06:03.626288 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-06-25 17:06:03.813178 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-06-25 17:06:04.00193 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-06-25 17:06:04.21964 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-06-25 17:06:04.419045 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-06-25 17:06:04.605759 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-06-25 17:06:04.798735 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-06-25 17:06:04.997432 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-06-25 17:06:05.225133 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-06-25 17:06:05.406855 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-06-25 17:06:05.588245 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-06-25 17:06:05.781906 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-06-25 17:06:05.97048 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-06-25 17:06:06.187252 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-06-25 17:06:06.378549 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-06-25 17:06:06.565426 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-06-25 17:06:06.755242 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-06-25 17:06:06.940849 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-06-25 17:06:07.143754 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-06-25 17:06:07.334835 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-06-25 17:06:07.537632 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-06-25 17:06:07.71303 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-06-25 17:06:07.899672 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-06-25 17:06:08.117907 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-06-25 17:06:08.303395 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-06-25 17:06:08.497701 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-06-25 17:06:08.675534 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-06-25 17:06:08.873747 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-06-25 17:06:09.081701 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-06-25 17:06:09.273608 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-06-25 17:06:09.480034 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-06-25 17:06:09.667065 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-06-25 17:06:09.870784 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-06-25 17:06:10.077172 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-06-25 17:06:10.274821 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-06-25 17:06:10.473352 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-06-25 17:06:10.667544 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-06-25 17:06:10.870879 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-06-25 17:06:11.067255 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-06-25 17:06:11.253063 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-06-25 17:06:11.443763 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-06-25 17:06:11.656379 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-06-25 17:06:11.885166 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-06-25 17:06:12.073539 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-06-25 17:06:12.255857 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-06-25 17:06:12.462754 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-06-25 17:06:12.652392 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-06-25 17:06:12.86673 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-06-25 17:06:13.054396 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-06-25 17:06:13.230563 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-06-25 17:06:13.407538 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-06-25 17:06:13.577316 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-06-25 17:06:13.771715 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-06-25 17:06:13.948214 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-06-25 17:06:14.126621 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-06-25 17:06:14.311053 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-06-25 17:06:14.503136 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-06-25 17:06:14.706632 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-06-25 17:06:14.882682 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-06-25 17:06:15.061742 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-06-25 17:06:15.239521 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-06-25 17:06:15.436407 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-06-25 17:06:15.608505 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-06-25 17:06:15.787797 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-06-25 17:06:15.973654 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-06-25 17:06:16.169958 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-06-25 17:06:16.408632 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-06-25 17:06:16.596312 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-06-25 17:06:16.787296 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-06-25 17:06:16.977955 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-06-25 17:06:17.156485 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-06-25 17:06:17.366083 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-06-25 17:06:17.542253 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-06-25 17:06:17.718195 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-06-25 17:06:17.909295 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-06-25 17:06:18.098689 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-06-25 17:06:18.350449 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-06-25 17:06:18.539198 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-06-25 17:06:18.73909 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-06-25 17:06:18.92947 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-06-25 17:06:19.115547 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-06-25 17:06:19.353849 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-06-25 17:06:19.555606 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-06-25 17:06:19.751924 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-06-25 17:06:19.943173 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-06-25 17:06:20.131666 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-06-25 17:06:20.368127 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-06-25 17:06:20.559296 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-06-25 17:06:20.765213 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-06-25 17:06:20.964731 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-06-25 17:06:21.148804 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-06-25 17:06:21.352304 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-06-25 17:06:21.54285 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-06-25 17:06:21.74112 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-06-25 17:06:21.937256 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-06-25 17:06:22.125817 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-06-25 17:06:22.358053 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-06-25 17:06:22.557359 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-06-25 17:06:22.753859 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-06-25 17:06:22.950677 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-06-25 17:06:23.146291 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-06-25 17:06:23.36475 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-06-25 17:06:23.55443 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-06-25 17:06:23.751812 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-06-25 17:06:23.944864 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-06-25 17:06:24.155994 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-06-25 17:06:24.383916 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-06-25 17:06:24.57244 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-06-25 17:06:24.76895 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-06-25 17:06:24.963558 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-06-25 17:06:25.17831 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-06-25 17:06:25.378397 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-06-25 17:06:25.579176 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-06-25 17:06:25.771927 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-06-25 17:06:25.96562 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-06-25 17:06:26.195801 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-06-25 17:06:26.406922 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-06-25 17:06:26.59092 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-06-25 17:06:26.794575 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-06-25 17:06:26.98537 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-06-25 17:06:27.211755 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-06-25 17:06:27.396437 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-06-25 17:06:27.585828 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-06-25 17:06:27.767686 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-06-25 17:06:27.964147 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-06-25 17:06:28.192676 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-06-25 17:06:28.384301 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-06-25 17:06:28.568728 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-06-25 17:06:28.752844 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-06-25 17:06:28.950574 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-06-25 17:06:29.186386 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-06-25 17:06:29.382655 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-06-25 17:06:29.583133 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-06-25 17:06:29.793891 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-06-25 17:06:29.992223 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-06-25 17:06:30.229025 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-06-25 17:06:30.424475 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-06-25 17:06:30.632721 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-06-25 17:06:30.830667 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-06-25 17:06:31.000229 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-06-25 17:06:31.23656 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-06-25 17:06:31.426646 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-06-25 17:06:31.623451 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-06-25 17:06:31.821729 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-06-25 17:06:32.017502 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-06-25 17:06:32.234355 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-06-25 17:06:32.415993 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-06-25 17:06:32.613202 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-06-25 17:06:32.850921 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-06-25 17:06:33.077877 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-06-25 17:06:33.288401 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-06-25 17:06:33.484936 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-06-25 17:06:33.692915 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-06-25 17:06:33.895208 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-06-25 17:06:34.116834 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-06-25 17:06:34.311972 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-06-25 17:06:34.500907 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-06-25 17:06:34.701598 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-06-25 17:06:34.881725 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-06-25 17:06:35.095233 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-06-25 17:06:35.309571 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-06-25 17:06:35.520927 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-06-25 17:06:35.74314 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-06-25 17:06:35.935398 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-06-25 17:06:36.154364 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-06-25 17:06:36.324641 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-06-25 17:06:36.513354 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-06-25 17:06:36.702028 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-06-25 17:06:36.890649 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-06-25 17:06:37.123132 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-06-25 17:06:37.328026 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-06-25 17:06:37.526352 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-06-25 17:06:37.720906 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-06-25 17:06:37.97809 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-06-25 17:06:38.230267 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-06-25 17:06:38.423275 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-06-25 17:06:38.635093 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-06-25 17:06:38.821486 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-06-25 17:06:39.73753 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-06-25 17:06:39.929617 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-06-25 17:06:40.123309 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-06-25 17:06:40.322465 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-06-25 17:06:40.493559 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-06-25 17:06:40.675571 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-06-25 17:06:40.867652 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-06-25 17:06:41.051506 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-06-25 17:06:41.248808 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-06-25 17:06:41.44066 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-06-25 17:06:41.634424 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-06-25 17:06:41.817861 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-06-25 17:06:41.995925 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-06-25 17:06:42.190144 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-06-25 17:06:42.375444 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-06-25 17:06:42.581512 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-06-25 17:06:42.785768 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-06-25 17:06:42.977365 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-06-25 17:06:43.184643 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-06-25 17:06:43.377816 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-06-25 17:06:43.605569 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-06-25 17:06:43.803043 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-06-25 17:06:44.008691 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-06-25 17:06:44.235313 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-06-25 17:06:44.406141 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-06-25 17:06:44.612753 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-06-25 17:06:44.794671 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-06-25 17:06:44.978067 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-06-25 17:06:45.162463 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-06-25 17:06:45.361199 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-06-25 17:06:45.574768 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-06-25 17:06:45.780718 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-06-25 17:06:45.978638 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-06-25 17:06:46.176962 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-06-25 17:06:46.380879 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-06-25 17:06:46.582083 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-06-25 17:06:46.772283 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-06-25 17:06:46.970994 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-06-25 17:06:47.184591 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-06-25 17:06:47.392621 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-06-25 17:06:47.602023 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-06-25 17:06:47.809906 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-06-25 17:06:48.024888 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-06-25 17:06:48.238196 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-06-25 17:06:48.452155 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-06-25 17:06:48.67075 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-06-25 17:06:48.882343 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-06-25 17:06:49.10732 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-06-25 17:06:49.337533 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-06-25 17:06:49.567703 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-06-25 17:06:49.787951 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-06-25 17:06:49.999269 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-06-25 17:06:50.217987 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-06-25 17:06:50.415353 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-06-25 17:06:50.648077 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-06-25 17:06:50.874483 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-06-25 17:06:51.094244 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-06-25 17:06:51.315955 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-06-25 17:06:51.54963 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-06-25 17:06:51.778545 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-06-25 17:06:52.007451 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-06-25 17:06:52.220238 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-06-25 17:06:52.427606 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-06-25 17:06:52.626401 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-06-25 17:06:52.855371 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-06-25 17:06:53.060109 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-06-25 17:06:53.255325 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-06-25 17:06:53.465395 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-06-25 17:06:53.673404 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-06-25 17:06:53.872877 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-06-25 17:06:54.119863 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-06-25 17:06:54.321347 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-06-25 17:06:54.52986 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-06-25 17:06:54.760745 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-06-25 17:06:54.97928 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-06-25 17:06:55.202854 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-06-25 17:06:55.418245 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-06-25 17:06:55.640546 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-06-25 17:06:55.875213 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-06-25 17:06:56.119777 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-06-25 17:06:56.364214 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-06-25 17:06:56.57661 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-06-25 17:06:56.810576 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-06-25 17:06:57.025606 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-06-25 17:06:57.258886 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-06-25 17:06:57.49769 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-06-25 17:06:57.71384 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-06-25 17:06:57.922603 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-06-25 17:06:58.143476 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-06-25 17:06:58.339908 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-06-25 17:06:58.550381 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-06-25 17:06:58.745897 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-06-25 17:06:58.953 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-06-25 17:06:59.187698 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-06-25 17:06:59.440105 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-06-25 17:06:59.640543 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-06-25 17:06:59.843247 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-06-25 17:07:00.050697 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-06-25 17:07:00.288453 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-06-25 17:07:00.533021 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-06-25 17:07:00.739943 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-06-25 17:07:00.940219 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-06-25 17:07:01.142485 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-06-25 17:07:01.349515 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-06-25 17:07:01.635073 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-06-25 17:07:01.849406 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-06-25 17:07:02.074259 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-06-25 17:07:02.284079 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-06-25 17:07:02.499834 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-06-25 17:07:02.761415 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-06-25 17:07:03.005528 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-06-25 17:07:03.224074 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-06-25 17:07:03.418659 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-06-25 17:07:03.632593 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-06-25 17:07:03.872811 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-06-25 17:07:04.081003 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-06-25 17:07:04.273751 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-06-25 17:07:04.458507 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-06-25 17:07:04.676527 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-06-25 17:07:04.901216 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-06-25 17:07:05.107041 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-06-25 17:07:05.312152 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-06-25 17:07:05.505488 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-06-25 17:07:05.695825 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-06-25 17:07:05.896258 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-06-25 17:07:06.119802 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-06-25 17:07:06.309443 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-06-25 17:07:08.628468 INFO::Plotting data for metadata number 3, age
## 2024-06-25 17:07:08.630971 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:08.893512 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:09.175552 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:09.410651 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:09.608424 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:09.820392 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:10.052394 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:10.29037 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:10.50629 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:10.692616 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:10.90081 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:11.112059 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:11.345759 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:11.555752 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:11.77105 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:11.996692 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:12.251093 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:12.460204 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:12.695478 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:12.890722 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:13.097088 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:13.274393 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:13.455829 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:13.645798 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:13.857968 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:14.068042 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:14.267906 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:14.49975 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:14.710747 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:14.924885 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:15.110146 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:15.287294 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:15.481914 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:15.668366 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:15.910467 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:16.111731 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:16.294752 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:16.516643 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:16.729743 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:16.911826 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:17.1057 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:17.294858 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:17.523608 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:17.701408 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:17.873677 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:18.059378 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:18.276262 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:18.459191 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:18.615772 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:18.822815 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:19.022747 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:19.242947 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:19.437518 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:19.632438 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:19.829507 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:20.074013 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:20.255974 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:20.443108 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:20.648651 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:20.859606 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:21.055118 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:21.246174 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:21.432389 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:21.610641 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:21.921741 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:22.1253 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:22.333707 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:22.522562 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:22.742869 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:22.927805 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:23.123275 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:23.310783 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:23.508844 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:23.732966 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:23.957036 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:24.137817 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:24.446452 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:24.676044 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:24.873247 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:25.069943 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:25.25565 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:25.454538 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:25.681608 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:25.884003 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:26.080033 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:26.289609 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:26.523029 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:26.748745 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:26.936495 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:27.135765 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:27.319339 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:27.539577 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:27.73613 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:27.927844 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:28.11255 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:28.314114 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:28.478584 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:28.670915 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:28.876219 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:29.088698 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:29.273219 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:29.475629 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:29.679945 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:29.870324 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:30.079157 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:30.277415 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:30.454695 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:30.643048 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:30.848815 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:31.039802 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:31.218305 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:31.391909 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:31.558494 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:31.75964 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:31.936318 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:32.112682 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:32.324296 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:32.567793 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:32.798513 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:33.018993 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:33.237337 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:33.436757 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:33.644905 INFO::Creating scatter plot for continuous data, age vs F846
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:33.844847 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:34.057859 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:34.277035 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:34.50811 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:34.706612 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:34.891202 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:35.099224 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:35.333675 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:35.524026 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:35.704494 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:35.915142 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:36.14395 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:36.346287 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:36.52529 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:36.714424 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:36.91506 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:37.110513 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:37.288077 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:37.480162 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:37.693658 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:37.910755 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:38.113886 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:38.296887 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:38.460918 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:38.657828 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:38.84123 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:39.032968 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:39.231812 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:39.448694 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:39.692486 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:39.86851 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:40.052933 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:40.239552 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:40.47037 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:40.655153 INFO::Creating scatter plot for continuous data, age vs F754
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:40.851929 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:41.036997 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:41.26143 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-25 17:07:41.4636 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:41.688004 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-25 17:07:41.888116 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features
## 2024-06-25 17:07:44.19889 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-06-25 17:07:44.208011 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-06-25 17:07:44.230719 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.4.1 RC (2024-06-06 r86719)
## Platform: x86_64-apple-darwin20
## Running under: macOS Monterey 12.7.1
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.9.1              SummarizedExperiment_1.35.0
##  [3] Biobase_2.65.0              GenomicRanges_1.57.1       
##  [5] GenomeInfoDb_1.41.1         IRanges_2.39.0             
##  [7] S4Vectors_0.43.0            BiocGenerics_0.51.0        
##  [9] MatrixGenerics_1.17.0       matrixStats_1.3.0          
## [11] BiocStyle_2.33.1           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.4             magrittr_2.0.3         
##   [7] compiler_4.4.1          RSQLite_2.3.7           mgcv_1.9-1             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.45.0          labeling_0.4.3         
##  [19] utf8_1.2.4              rmarkdown_2.27          preprocessCore_1.67.0  
##  [22] UCSC.utils_1.1.0        bit_4.0.5               xfun_0.45              
##  [25] zlibbioc_1.51.1         cachem_1.1.0            jsonlite_1.8.8         
##  [28] blob_1.2.4              DelayedArray_0.31.3     BiocParallel_1.39.0    
##  [31] psych_2.4.3             Maaslin2_1.19.0         parallel_4.4.1         
##  [34] cluster_2.1.6           biglm_0.9-3             R6_2.5.1               
##  [37] RColorBrewer_1.1-3      stringi_1.8.4           bslib_0.7.0            
##  [40] rpart_4.1.23            jquerylib_0.1.4         Rcpp_1.0.12            
##  [43] bookdown_0.39           iterators_1.0.14        knitr_1.47             
##  [46] WGCNA_1.72-5            base64enc_0.1-3         Matrix_1.7-0           
##  [49] splines_4.4.1           nnet_7.3-19             tidyselect_1.2.1       
##  [52] rstudioapi_0.16.0       abind_1.4-5             yaml_2.3.8             
##  [55] doParallel_1.0.17       codetools_0.2-20        plyr_1.8.9             
##  [58] lattice_0.22-6          tibble_3.2.1            withr_3.0.0            
##  [61] KEGGREST_1.45.1         evaluate_0.24.0         foreign_0.8-86         
##  [64] survival_3.7-0          getopt_1.20.4           Biostrings_2.73.1      
##  [67] pillar_1.9.0            BiocManager_1.30.23     checkmate_2.3.1        
##  [70] foreach_1.5.2           pcaPP_2.0-4             generics_0.1.3         
##  [73] ggplot2_3.5.1           munsell_0.5.1           scales_1.3.0           
##  [76] glue_1.7.0              Hmisc_5.1-3             tools_4.4.1            
##  [79] robustbase_0.99-2       data.table_1.15.4       mvtnorm_1.2-5          
##  [82] fastcluster_1.2.6       grid_4.4.1              optparse_1.7.5         
##  [85] impute_1.79.0           AnnotationDbi_1.67.0    colorspace_2.1-0       
##  [88] nlme_3.1-165            GenomeInfoDbData_1.2.12 htmlTable_2.4.2        
##  [91] Formula_1.2-5           cli_3.6.3               fansi_1.0.6            
##  [94] S4Arrays_1.5.1          dplyr_1.1.4             DEoptimR_1.1-3         
##  [97] gtable_0.3.5            hash_2.2.6.3            logging_0.10-108       
## [100] dynamicTreeCut_1.63-1   sass_0.4.9              digest_0.6.36          
## [103] SparseArray_1.5.10      farver_2.1.2            htmlwidgets_1.6.4      
## [106] memoise_2.0.1           htmltools_0.5.8.1       lifecycle_1.0.4        
## [109] httr_1.4.7              GO.db_3.19.1            bit64_4.0.5

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.