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###
### Running command:
###
###   /home/biocbuild/R/R-4.3.1/bin/R CMD check --install=check:ClassifyR.install-out.txt --library=/home/biocbuild/R/R-4.3.1/site-library --no-vignettes --timings ClassifyR_3.6.0.tar.gz
###
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* using log directory ‘/home/biocbuild/bbs-3.18-bioc/meat/ClassifyR.Rcheck’
* using R version 4.3.1 (2023-06-16)
* using platform: aarch64-unknown-linux-gnu (64-bit)
* R was compiled by
    gcc (GCC) 10.3.1
    GNU Fortran (GCC) 10.3.1
* running under: openEuler 22.03 (LTS-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘ClassifyR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘ClassifyR’ version ‘3.6.0’
* 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 ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘ClassifyR’ can be installed ... OK
* used C++ compiler: ‘g++ (GCC) 10.3.1’
* checking C++ specification ... NOTE
  Specified C++11: please drop specification unless essential
* 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 loading without being on the library search path ... OK
* checking dependencies in R code ... NOTE
Namespace in Imports field not imported from: ‘ggupset’
  All declared Imports should be used.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
.addUserLevels: no visible binding for global variable ‘median’
.dmvnorm_diag: no visible global function definition for ‘dnorm’
.doSelection : <anonymous> : <anonymous>: no visible global function
  definition for ‘setNames’
.doSelection : <anonymous> : <anonymous>: no visible global function
  definition for ‘na.omit’
.doSelection : <anonymous> : <anonymous>: no visible global function
  definition for ‘median’
.doSelection : <anonymous>: no visible binding for global variable
  ‘trainParams’
.doSelection : <anonymous>: no visible binding for global variable
  ‘predictParams’
.doSelection : <anonymous>: no visible binding for global variable
  ‘measurementsSubset’
.doSelection : <anonymous>: no visible global function definition for
  ‘median’
.doSelection : <anonymous>: no visible binding for global variable
  ‘aResult’
.doSelection: no visible binding for global variable ‘featuresLists’
.doTrain : <anonymous>: no visible global function definition for
  ‘median’
.filterCharacteristics: no visible global function definition for
  ‘na.omit’
.getEdgeLabel: no visible binding for '<<-' assignment to ‘nSamples’
.getEdgeLabel: no visible binding for global variable ‘samplesTiers’
.getEdgeLabel: no visible binding for global variable ‘nSamples’
.getFeaturesStrings : <anonymous>: no visible global function
  definition for ‘first’
.getFeaturesStrings : <anonymous>: no visible global function
  definition for ‘second’
.getFillColour: no visible binding for global variable ‘nodeColours’
.posterior_probs : <anonymous>: no visible global function definition
  for ‘dmvnorm’
.precisionPathwaysPredict: no visible binding for global variable
  ‘useFeatures’
.precisionPathwaysTrain: no visible global function definition for
  ‘setNames’
.samplesSplits : <anonymous>: no visible binding for global variable
  ‘classes’
DLDApredictInterface: no visible global function definition for
  ‘predict’
DMDranking : <anonymous>: no visible global function definition for
  ‘dist’
GLMpredictInterface: no visible global function definition for
  ‘predict’
GLMtrainInterface: no visible global function definition for ‘glm’
GLMtrainInterface: no visible binding for global variable
  ‘quasibinomial’
SVMpredictInterface: no visible global function definition for
  ‘predict’
bubblePlot.PrecisionPathways: no visible binding for global variable
  ‘accuracy’
bubblePlot.PrecisionPathways: no visible binding for global variable
  ‘cost’
bubblePlot.PrecisionPathways: no visible binding for global variable
  ‘Sequence’
classifyInterface: no visible binding for global variable
  ‘trainingMatrix’
classifyInterface: no visible binding for global variable
  ‘testingMatrix’
colCoxTests: no visible global function definition for ‘pnorm’
colCoxTests : <anonymous>: no visible global function definition for
  ‘coxph’
coxnetPredictInterface: no visible global function definition for
  ‘predict’
coxnetTrainInterface: no visible global function definition for
  ‘predict’
coxphPredictInterface: no visible global function definition for
  ‘predict’
crissCrossPlot: no visible binding for global variable ‘params’
crissCrossPlot: no visible binding for global variable ‘real’
crissCrossPlot: no visible binding for global variable ‘Var1’
crissCrossPlot: no visible binding for global variable ‘Var2’
crissCrossPlot: no visible binding for global variable ‘value’
crissCrossPlot: no visible binding for global variable ‘random’
crissCrossValidate : <anonymous> : <anonymous>: no visible global
  function definition for ‘predict’
crissCrossValidate : <anonymous> : <anonymous>: no visible global
  function definition for ‘na.omit’
differentMeansRanking : <anonymous>: no visible global function
  definition for ‘chisq.test’
edgeRranking: no visible global function definition for ‘model.matrix’
elasticNetGLMpredictInterface: no visible global function definition
  for ‘predict’
elasticNetGLMtrainInterface : <anonymous>: no visible global function
  definition for ‘predict’
extremeGradientBoostingPredictInterface: no visible global function
  definition for ‘predict’
fastCox: no visible global function definition for ‘pnorm’
fisherDiscriminant: no visible binding for global variable
  ‘trainingMatrix’
fisherDiscriminant: no visible binding for global variable ‘var’
flowchart.PrecisionPathways: no visible binding for global variable
  ‘Node’
flowchart.PrecisionPathways: no visible binding for global variable
  ‘Predicted’
flowchart.PrecisionPathways: no visible binding for global variable
  ‘Tier’
flowchart.PrecisionPathways: no visible global function definition for
  ‘SetGraphStyle’
flowchart.PrecisionPathways: no visible global function definition for
  ‘SetEdgeStyle’
flowchart.PrecisionPathways: no visible global function definition for
  ‘SetNodeStyle’
getLocationsAndScales: no visible global function definition for
  ‘setNames’
getLocationsAndScales: no visible binding for global variable ‘median’
getLocationsAndScales: no visible binding for global variable ‘sd’
getLocationsAndScales: no visible binding for global variable ‘mad’
kNNinterface: no visible global function definition for ‘setNames’
kTSPclassifier : <anonymous>: no visible binding for global variable
  ‘trainingMatrix’
kTSPclassifier : <anonymous>: no visible global function definition for
  ‘Pairs’
kTSPclassifier: no visible binding for global variable ‘testingMatrix’
likelihoodRatioRanking : <anonymous>: no visible global function
  definition for ‘dnorm’
likelihoodRatioRanking : <anonymous> : <anonymous>: no visible global
  function definition for ‘dnorm’
limmaRanking: no visible global function definition for ‘model.matrix’
mixModelsPredict : <anonymous>: no visible global function definition
  for ‘setNames’
mixModelsPredict : <anonymous> : <anonymous> : <anonymous>: no visible
  global function definition for ‘dnorm’
mixModelsPredict : <anonymous> : <anonymous>: no visible global
  function definition for ‘splinefun’
mixModelsTrain: no visible global function definition for ‘setNames’
naiveBayesKernel: no visible binding for global variable ‘density’
naiveBayesKernel : <anonymous> : <anonymous>: no visible global
  function definition for ‘splinefun’
naiveBayesKernel: no visible binding for global variable ‘test’
naiveBayesKernel : <anonymous>: no visible global function definition
  for ‘setNames’
pcaPredictInterface : <anonymous>: no visible global function
  definition for ‘predict’
pcaTrainInterface : <anonymous>: no visible global function definition
  for ‘prcomp’
performanceTable : <anonymous> : <anonymous>: no visible global
  function definition for ‘median’
performanceTable : <anonymous>: no visible binding for global variable
  ‘characteristic’
performanceTable : <anonymous>: no visible binding for global variable
  ‘value’
randomForestPredictInterface: no visible global function definition for
  ‘predict’
rfsrcPredictInterface: no visible global function definition for
  ‘predict’
strataPlot.PrecisionPathways: no visible binding for global variable
  ‘Tier’
strataPlot.PrecisionPathways: no visible binding for global variable
  ‘trueClass’
strataPlot.PrecisionPathways: no visible binding for global variable
  ‘Accuracy’
strataPlot.PrecisionPathways: no visible binding for global variable
  ‘ID’
subtractFromLocation: no visible binding for global variable ‘median’
train.DataFrame : <anonymous> : <anonymous> : <anonymous>: no visible
  global function definition for ‘na.omit’
train.DataFrame: no visible binding for global variable
  ‘crossValParams’
ROCplot,list : <anonymous> : <anonymous> : <anonymous>: no visible
  global function definition for ‘quantile’
ROCplot,list : <anonymous>: no visible binding for global variable
  ‘FPR’
ROCplot,list : <anonymous>: no visible binding for global variable
  ‘TPR’
ROCplot,list : <anonymous>: no visible binding for global variable
  ‘lower’
ROCplot,list : <anonymous>: no visible binding for global variable
  ‘upper’
crossValidate,DataFrame: no visible global function definition for
  ‘runif’
distribution,ClassifyResult: no visible global function definition for
  ‘first’
distribution,ClassifyResult: no visible global function definition for
  ‘second’
distribution,ClassifyResult: no visible global function definition for
  ‘aggregate’
distribution,ClassifyResult: no visible global function definition for
  ‘mcols<-’
featureSetSummary,DataFrame: no visible binding for global variable
  ‘median’
featureSetSummary,MultiAssayExperiment: no visible binding for global
  variable ‘median’
featureSetSummary,matrix: no visible binding for global variable
  ‘median’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘measurement’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘density’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘legends grouping’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘key’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘value’
plotFeatureClasses,DataFrame : <anonymous>: no visible binding for
  global variable ‘ID’
precisionPathwaysTrain,MultiAssayExperimentOrList: no visible global
  function definition for ‘setNames’
prepareData,DataFrame: no visible global function definition for
  ‘unqiue’
prepareData,DataFrame : <anonymous>: no visible binding for global
  variable ‘var’
rankingPlot,list: no visible binding for global variable ‘top’
rankingPlot,list: no visible binding for global variable ‘overlap’
runTest,DataFrame: no visible global function definition for ‘na.omit’
runTest,DataFrame : <anonymous>: no visible global function definition
  for ‘na.omit’
runTest,MultiAssayExperiment: no visible binding for global variable
  ‘extrasInputs’
runTest,MultiAssayExperiment: no visible binding for global variable
  ‘prepArgs’
samplesMetricMap,list: no visible binding for global variable ‘Class’
samplesMetricMap,list: no visible binding for global variable ‘Group’
samplesMetricMap,list: no visible binding for global variable
  ‘measurements’
samplesMetricMap,list: no visible binding for global variable ‘name’
samplesMetricMap,list: no visible binding for global variable ‘type’
samplesMetricMap,list: no visible binding for global variable ‘Metric’
samplesMetricMap,matrix: no visible binding for global variable ‘Class’
samplesMetricMap,matrix: no visible binding for global variable ‘Group’
samplesMetricMap,matrix: no visible binding for global variable
  ‘measurements’
samplesMetricMap,matrix: no visible binding for global variable ‘name’
samplesMetricMap,matrix: no visible binding for global variable ‘type’
samplesMetricMap,matrix: no visible binding for global variable
  ‘Metric’
selectionPlot,list: no visible binding for global variable ‘overlap’
selectionPlot,list: no visible binding for global variable ‘median’
selectionPlot,list : <anonymous>: no visible binding for global
  variable ‘feature’
selectionPlot,list: no visible binding for global variable ‘feature’
selectionPlot,list: no visible binding for global variable
  ‘colourVariable’
selectionPlot,list: no visible binding for global variable ‘size’
selectionPlot,list: no visible binding for global variable ‘Freq’
show,PredictParams: no visible global function definition for ‘na.omit’
show,SelectParams: no visible global function definition for ‘na.omit’
show,TrainParams: no visible global function definition for ‘na.omit’
show,TransformParams: no visible global function definition for
  ‘na.omit’
Undefined global functions or variables:
  Accuracy Class FPR Freq Group ID Metric Node Pairs Predicted Sequence
  SetEdgeStyle SetGraphStyle SetNodeStyle TPR Tier Var1 Var2 aResult
  accuracy aggregate characteristic chisq.test classes colourVariable
  cost coxph crossValParams density dist dmvnorm dnorm extrasInputs
  feature featuresLists first glm key legends grouping lower mad
  mcols<- measurement measurements measurementsSubset median
  model.matrix nSamples na.omit name nodeColours overlap params pnorm
  prcomp predict predictParams prepArgs quantile quasibinomial random
  real runif samplesTiers sd second setNames size splinefun test
  testingMatrix top trainParams trainingMatrix trueClass type unqiue
  upper useFeatures value var
Consider adding
  importFrom("base", "grouping")
  importFrom("stats", "aggregate", "chisq.test", "density", "dist",
             "dnorm", "glm", "mad", "median", "model.matrix", "na.omit",
             "pnorm", "prcomp", "predict", "quantile", "quasibinomial",
             "runif", "sd", "setNames", "splinefun", "var")
to your NAMESPACE file.
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... WARNING
Codoc mismatches from documentation object 'samplesMetricMap':
\S4method{samplesMetricMap}{list}
  Code: function(results, comparison = "auto", metric = "auto",
                 featureValues = NULL, featureName = NULL,
                 metricColours = list(c("#FFFFFF", "#CFD1F2",
                 "#9FA3E5", "#6F75D8", "#3F48CC"), c("#FFFFFF",
                 "#E1BFC4", "#C37F8A", "#A53F4F", "#880015")),
                 classColours = c("#3F48CC", "#880015"), groupColours =
                 c("darkgreen", "yellow2"), fontSizes = c(24, 16, 12,
                 12, 12), mapHeight = 4, title = "auto", showLegends =
                 TRUE, xAxisLabel = "Sample Name", showXtickLabels =
                 TRUE, yAxisLabel = "Analysis", showYtickLabels = TRUE,
                 legendSize = grid::unit(1, "lines"))
  Docs: function(results, comparison = "auto", metric = "auto",
                 featureValues = NULL, featureName = NULL,
                 metricColours = list(c("#FFFFFF", "#CFD1F2",
                 "#9FA3E5", "#6F75D8", "#3F48CC"), c("#FFFFFF",
                 "#E1BFC4", "#C37F8A", "#A53F4F", "#880015")),
                 classColours = c("#3F48CC", "#880015"), groupColours =
                 c("darkgreen", "yellow2"), fontSizes = c(24, 16, 12,
                 12, 12), mapHeight = 4, title = "auto", showLegends =
                 TRUE, xAxisLabel = "Sample Name", showXtickLabels =
                 TRUE, yAxisLabel = "Analysis", showYtickLabels = TRUE,
                 legendSize = grid::unit(1, "lines"), plot = TRUE)
  Argument names in docs not in code:
    plot

* checking Rd \usage sections ... WARNING
Undocumented arguments in documentation object 'samplesMetricMap'
  ‘plot’

Functions with \usage entries need to have the appropriate \alias
entries, and all their arguments documented.
The \usage entries must correspond to syntactically valid R code.
See chapter ‘Writing R documentation files’ in the ‘Writing R
Extensions’ manual.
* 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 data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
* checking files in ‘vignettes’ ... NOTE
Files named as vignettes but with no recognized vignette engine:
   ‘vignettes/survival.Rmd’
(Is a VignetteBuilder field missing?)
* checking examples ... ERROR
Running examples in ‘ClassifyR-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: crossValidate
> ### Title: Cross-validation to evaluate classification performance.
> ### Aliases: crossValidate crossValidate,matrix-method
> ###   crossValidate,DataFrame-method
> ###   crossValidate,MultiAssayExperiment-method,
> ###   crossValidate,data.frame-method
> ###   crossValidate,MultiAssayExperimentOrList-method train.matrix
> ###   train.data.frame train.DataFrame train.list
> ###   train.MultiAssayExperiment predict.trainedByClassifyR
> 
> ### ** Examples
> 
> 
> data(asthma)
> 
> # Compare randomForest and SVM classifiers.
> result <- crossValidate(measurements, classes, classifier = c("randomForest", "SVM"))
* 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 ERROR, 2 WARNINGs, 5 NOTEs
See
  ‘/home/biocbuild/bbs-3.18-bioc/meat/ClassifyR.Rcheck/00check.log’
for details.

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###
### Running command:
###
###   /home/biocbuild/R/R-4.3.1/bin/R CMD INSTALL ClassifyR
###
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* installing to library ‘/home/biocbuild/R/R-4.3.1/site-library’
* installing *source* package ‘ClassifyR’ ...
** using staged installation
** libs
using C++ compiler: ‘g++ (GCC) 10.3.1’
using C++11
g++ -std=gnu++11 -I"/home/biocbuild/R/R-4.3.1/include" -DNDEBUG   -I/usr/local/include    -fPIC  -g -O2  -Wall -c coxformatrices.cpp -o coxformatrices.o
coxformatrices.cpp: In function ‘void coxmat(double*, int*, int*, double*, double*, double*, int*, int*, int*, double*, int*, double*, double*, int*, double*, double*, double*, double*, double*, int*, double*, double*, double*, double*, double*, double*)’:
coxformatrices.cpp:23:16: warning: unused variable ‘sclback2’ [-Wunused-variable]
   23 |         double sclback2=*sctest2;
      |                ^~~~~~~~
coxformatrices.cpp:24:16: warning: unused variable ‘sclback3’ [-Wunused-variable]
   24 |         double sclback3=*sctest3;
      |                ^~~~~~~~
g++ -std=gnu++11 -shared -L/home/biocbuild/R/R-4.3.1/lib -L/usr/local/lib -o ClassifyR.so coxformatrices.o -L/home/biocbuild/R/R-4.3.1/lib -lR
installing to /home/biocbuild/R/R-4.3.1/site-library/00LOCK-ClassifyR/00new/ClassifyR/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
in method for ‘ROCplot’ with signature ‘"ClassifyResult"’: no definition for class “ClassifyResult”
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ClassifyR)