##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:phenomis.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings phenomis_1.4.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.18-bioc/meat/phenomis.Rcheck’
* using R version 4.3.3 (2024-02-29)
* using platform: x86_64-apple-darwin20 (64-bit)
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘phenomis/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘phenomis’ version ‘1.4.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘phenomis’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
              user system elapsed
hypotesting 14.368  0.144  15.996
annotating   8.134  1.245  10.251
inspecting   8.788  0.132   9.733
clustering   6.990  0.108   7.643
vennplot     4.372  0.084   5.020
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: OK

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL phenomis
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library’
* installing *source* package ‘phenomis’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (phenomis)

R version 4.3.3 (2024-02-29) -- "Angel Food Cake"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> test_check("phenomis")
Loading required package: phenomis
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, sort, 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

class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
INFO  [07:01:47.295] Loading definitions from package biodb version 1.10.0.
INFO  [07:01:51.985] Loading definitions from package biodbChebi version 1.8.0.
INFO  [07:01:52.077] Loading definitions from package biodbExpasy version 1.6.0.
INFO  [07:01:52.099] Loading definitions from package biodbHmdb version 1.8.0.
INFO  [07:01:52.191] Loading definitions from package biodbKegg version 1.8.0.
INFO  [07:01:52.345] Loading definitions from package biodbLipidmaps version 1.8.0.
INFO  [07:01:52.434] Loading definitions from package biodbNcbi version 1.6.0.
INFO  [07:01:52.576] Loading definitions from package biodbNci version 1.6.0.
INFO  [07:01:52.600] Loading definitions from package biodbUniprot version 1.8.0.
INFO  [07:01:58.690] Closing BiodbMain instance...
INFO  [07:01:58.693] Connector "mass.csv.file" deleted.
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
                                     pearson_age_cor pearson_age_BH
Quinic acid                                0.4242918   2.436280e-07
Dehydroepiandrosterone sulfate            -0.4079105   5.622222e-07
Dehydroepiandrosterone 3-glucuronide      -0.3790183   4.585238e-06
1,7-Dimethyluric acid                      0.3550416   2.303726e-05
1,3-Dimethyluric acid                      0.3319468   9.990338e-05
Aminosalicyluric acid                      0.3197563   1.925875e-04
1-Methylxanthine                           0.3098597   3.176562e-04
Testosterone glucuronide                  -0.3069249   3.359986e-04
Aspartic acid                             -0.3034885   3.719846e-04
FMNH2                                     -0.3016243   3.766947e-04
Fumaric acid                               0.2929663   5.860747e-04
1-Methyluric acid                          0.2799157   1.169543e-03
Dimethylguanosine                         -0.2763133   1.329293e-03
5-Hydroxyindoleacetic acid                -0.2739204   1.415079e-03
N4-Acetylcytidine                         -0.2642178   2.269409e-03
N-Acetyl-aspartic acid                    -0.2598694   2.694028e-03
6-(carboxymethoxy)-hexanoic acid          -0.2563962   3.052851e-03
Threonic acid/Erythronic acid             -0.2506358   3.901083e-03
Pentose                                    0.2445172   5.056935e-03
Methylinosine                             -0.2381169   6.614290e-03
Tryptophan                                -0.2335902   7.858311e-03
4-Hydroxybenzoic acid                     -0.2221771   1.286245e-02
N-Acetyltryptophan isomer 3               -0.2153012   1.681538e-02
Pyridylacetylglycine                      -0.2140805   1.701743e-02
3-Methylcrotonylglycine                   -0.2058001   2.346467e-02
Pyrroledicarboxylic acid                   0.2017568   2.417414e-02
Acetylphenylalanine                        0.2012786   2.417414e-02
N-Acetyltryptophan                         0.2010813   2.417414e-02
(gamma)Glu-Leu/Ile                        -0.2009143   2.417414e-02
Methoxysalicylic acid isomer               0.2008038   2.417414e-02
Pantothenic acid                          -0.1987920   2.544600e-02
Pyridoxic acid isomer 1                   -0.1958688   2.781563e-02
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 100 28 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(100): isobutyric acid oxalic acid ... UDP-alpha-D-galactose
  GDP-L-fucose
rowData names(23): chromato name ... redund_group redund_iso_add_frag
colnames(28): L818f L819f ... W633f W634m
colData names(3): gene mouse_id sex
class: SummarizedExperiment 
dim: 100 28 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(100): isobutyric acid oxalic acid ... UDP-alpha-D-galactose
  GDP-L-fucose
rowData names(23): chromato name ... redund_group redund_iso_add_frag
colnames(28): L818f L819f ... W633f W634m
colData names(3): gene mouse_id sex
class: SummarizedExperiment 
dim: 100 28 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(100): isobutyric acid oxalic acid ... UDP-alpha-D-galactose
  GDP-L-fucose
rowData names(23): chromato name ... redund_group redund_iso_add_frag
colnames(28): L818f L819f ... W633f W634m
colData names(3): gene mouse_id sex
class: SummarizedExperiment 
dim: 100 28 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(100): isobutyric acid oxalic acid ... UDP-alpha-D-galactose
  GDP-L-fucose
rowData names(23): chromato name ... redund_group redund_iso_add_frag
colnames(28): L818f L819f ... W633f W634m
colData names(3): gene mouse_id sex
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 100 28 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(100): Q8C196_Carbamoyl-phosphate synt. Q9DBM2_Peroxisomal
  bifunctional. ... Q8CII2_Cell division cycle prot. Q61553_Fascin
rowData names(3): accession description uniprot_id
colnames(28): L818f L819f ... W633f W634m
colData names(3): gene mouse_id sex
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
ExpressionSet (storageMode: lockedEnvironment)
assayData: 113 features, 210 samples 
  element names: exprs 
protocolData: none
phenoData
  sampleNames: QC1_001 HU_neg_017 ... QC1_012_b2 (210 total)
  varLabels: subset full ... gender (10 total)
  varMetadata: labelDescription
featureData
  featureNames: (2-methoxyethoxy)propanoic acid isomer
    (gamma)Glu-Leu/Ile ... Xanthosine (113 total)
  fvarLabels: database_identifier chemical_formula ... reliability (10
    total)
  fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:  
ExpressionSet (storageMode: lockedEnvironment)
assayData: 100 features, 28 samples 
  element names: exprs 
protocolData: none
phenoData
  sampleNames: L818f L819f ... W634m (28 total)
  varLabels: gene mouse_id sex
  varMetadata: labelDescription
featureData
  featureNames: Q8C196_Carbamoyl-phosphate synt. Q9DBM2_Peroxisomal
    bifunctional. ... Q61553_Fascin (100 total)
  fvarLabels: accession description uniprot_id
  fvarMetadata: labelDescription
experimentData: use 'experimentData(object)'
Annotation:  
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
A MultiAssayExperiment object of 1 listed
 experiment with a user-defined name and respective class.
 Containing an ExperimentList class object of length 1:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 1 elements
    . metabo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
 . rowRanges:
    . metabo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 1 elements
    . metabo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
 . rowRanges:
    . metabo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 1 cols (id)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
class: SummarizedExperiment 
dim: 113 210 
metadata(3): experimentData annotation protocolData
assays(1): exprs
rownames(113): (2-methoxyethoxy)propanoic acid isomer
  (gamma)Glu-Leu/Ile ... Valerylglycine isomer 2 Xanthosine
rowData names(10): database_identifier chemical_formula ...
  retention_time reliability
colnames(210): QC1_001 HU_neg_017 ... HU_neg_146_b2 QC1_012_b2
colData names(10): subset full ... bmi gender
A MultiAssayExperiment object of 2 listed
 experiments with user-defined names and respective classes.
 Containing an ExperimentList class object of length 2:
 [1] metabo: SummarizedExperiment with 100 rows and 28 columns
 [2] proteo: SummarizedExperiment with 100 rows and 28 columns
Functionality:
 experiments() - obtain the ExperimentList instance
 colData() - the primary/phenotype DataFrame
 sampleMap() - the sample coordination DataFrame
 `$`, `[`, `[[` - extract colData columns, subset, or experiment
 *Format() - convert into a long or wide DataFrame
 assays() - convert ExperimentList to a SimpleList of matrices
 exportClass() - save data to flat files
Object of class 'MultiDataSet'
 . assayData: 2 elements
    . metabo: 100 features, 28 samples 
    . proteo: 100 features, 28 samples 
 . featureData:
    . metabo: 100 rows, 23 cols (chromato, ..., redund_group)
    . proteo: 100 rows, 3 cols (accession, ..., description)
 . rowRanges:
    . metabo: NO
    . proteo: NO
 . phenoData:
    . metabo: 28 samples, 4 cols (gene, ..., sex)
    . proteo: 28 samples, 4 cols (gene, ..., sex)
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 108 ]
> 
> proc.time()
   user  system elapsed 
104.992   8.744 121.325