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### Running command:
###
###   C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe --arch x64 CMD check --no-multiarch --install=check:DaMiRseq.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings DaMiRseq_2.6.0.tar.gz
###
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* using log directory 'C:/Users/biocbuild/bbs-3.14-bioc/meat/DaMiRseq.Rcheck'
* using R version 4.1.3 (2022-03-10)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'DaMiRseq/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'DaMiRseq' version '2.6.0'
* 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 ... NOTE
Found the following hidden files and directories:
  .BBSoptions
These were most likely included in error. See section 'Package
structure' in the 'Writing R Extensions' manual.
* checking for portable file names ... OK
* checking whether package 'DaMiRseq' can be installed ... OK
* checking installed package size ... NOTE
  installed size is  6.0Mb
  sub-directories of 1Mb or more:
    data   5.5Mb
* 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 ... NOTE
DaMiR.Clustplot: warning in pheatmap(count_data,
  clustering_distance_rows = d_r, clustering_distance_cols = d_c, scale
  = "row", col = colors, annotation_col = df): partial argument match
  of 'col' to 'color'
DaMiR.Allplot: no visible binding for global variable 'X1'
DaMiR.Allplot: no visible binding for global variable 'X2'
DaMiR.Allplot: no visible binding for global variable 'PC1'
DaMiR.Allplot: no visible binding for global variable 'PC2'
DaMiR.Allplot: no visible binding for global variable 'value'
DaMiR.Allplot: no visible binding for global variable 'variable'
DaMiR.EnsembleLearning2cl: no visible binding for global variable
  'Classifiers'
DaMiR.EnsembleLearning2cl: no visible binding for global variable
  'Accuracy'
DaMiR.EnsembleLearning2cl: no visible binding for global variable 'MCC'
DaMiR.EnsembleLearning2cl: no visible binding for global variable
  'Specificity'
DaMiR.EnsembleLearning2cl: no visible binding for global variable
  'Sensitivity'
DaMiR.EnsembleLearning2cl: no visible binding for global variable 'PPV'
DaMiR.EnsembleLearning2cl: no visible binding for global variable 'NPV'
DaMiR.EnsembleLearning2cl: no visible global function definition for
  'colSds'
DaMiR.EnsembleLearningNcl: no visible binding for global variable
  'Classifiers'
DaMiR.EnsembleLearningNcl: no visible binding for global variable
  'Accuracy'
DaMiR.EnsembleLearningNcl: no visible global function definition for
  'colSds'
DaMiR.MDSplot: no visible binding for global variable 'X1'
DaMiR.MDSplot: no visible binding for global variable 'X2'
DaMiR.ModelSelect: no visible binding for global variable 'Metrics'
DaMiR.ModelSelect: no visible binding for global variable
  'N.predictors'
DaMiR.ModelSelect: no visible binding for global variable 'Counts'
DaMiR.iTSadjust: no visible binding for global variable 'value'
DaMiR.iTSadjust: no visible binding for global variable 'variable'
DaMiR.iTSnorm: no visible binding for global variable 'value'
DaMiR.iTSnorm: no visible binding for global variable 'variable'
Undefined global functions or variables:
  Accuracy Classifiers Counts MCC Metrics N.predictors NPV PC1 PC2 PPV
  Sensitivity Specificity X1 X2 colSds value variable
* 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 contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... WARNING
  LazyData DB of 5.5 MB without LazyDataCompression set
  See §1.1.6 of 'Writing R Extensions'
* checking data for ASCII and uncompressed saves ... OK
* checking files in 'vignettes' ... OK
* checking examples ... OK
* 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: 1 WARNING, 3 NOTEs
See
  'C:/Users/biocbuild/bbs-3.14-bioc/meat/DaMiRseq.Rcheck/00check.log'
for details.

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###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe --arch x64 CMD INSTALL --no-multiarch DaMiRseq
###
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* installing to library 'C:/Users/biocbuild/bbs-3.14-bioc/R/library'
* installing *source* package 'DaMiRseq' ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'DaMiRseq'
    finding HTML links ... done
    DaMiR.Allplot                           html  
    DaMiR.Clustplot                         html  
    DaMiR.EnsL_Predict                      html  
    DaMiR.EnsL_Test                         html  
    DaMiR.EnsL_Train                        html  
    DaMiR.EnsembleLearning                  html  
    DaMiR.EnsembleLearning2cl               html  
    DaMiR.EnsembleLearningNcl               html  
    DaMiR.FBest                             html  
    DaMiR.FReduct                           html  
    finding level-2 HTML links ... done

    DaMiR.FSelect                           html  
    DaMiR.FSort                             html  
    DaMiR.MDSplot                           html  
    DaMiR.ModelSelect                       html  
    DaMiR.SV                                html  
    DaMiR.SVadjust                          html  
    DaMiR.corrplot                          html  
    DaMiR.goldenDice                        html  
    DaMiR.iTSadjust                         html  
    DaMiR.iTSnorm                           html  
    DaMiR.makeSE                            html  
    DaMiR.normalization                     html  
    DaMiR.sampleFilt                        html  
    DaMiR.transpose                         html  
    SE                                      html  
    SEtest_norm                             html  
    data_min                                html  
    data_norm                               html  
    data_reduced                            html  
    data_relief                             html  
    df                                      html  
    selected_features                       html  
    sv                                      html  
** 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 (DaMiRseq)
Making 'packages.html' ... done

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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)
> library(DaMiRseq)
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, 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 objects are masked from 'package:base':

    I, expand.grid, unname

Loading required package: IRanges

Attaching package: 'IRanges'

The following object is masked from 'package:grDevices':

    windows

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

Loading required package: ggplot2
> 
> test_check("DaMiRseq")
10 Predictors have been selected for classification 
3 Predictors have been selected for classification 
100 Highly correlated features have been discarded for classification. 
 0 Features remained. 
100 Highly correlated features have been discarded for classification. 
 0 Features remained. 
Your dataset has: 
100 Features; 
11 Samples, divided in:  
3 variables: a b class ; 
 'class' included. 
Your dataset has: 
100 Features; 
11 Samples, divided in:  
3 variables: a b class ; 
 'class' included. 
0 Features have been filtered out by espression. 100 Features remained. 
0 'Hypervariant' Features have been filtered out. 100 Features remained. 
Performing Normalization by 'vst' with dispersion parameter:  parametric 
0 Samples have been excluded by averaged Sample-per-Sample correlation. 
 40 Samples remained. 
The number of SVs identified, which explain 95 % of Variance, is: 4 
All the sv have been used to adjust the dataAll the sv have been used to adjust the data[ FAIL 0 | WARN 0 | SKIP 0 | PASS 106 ]
> 
> proc.time()
   user  system elapsed 
  25.46    1.18   25.39