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### Running command:
###
###   F:\biocbuild\bbs-3.19-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:ADImpute.install-out.txt --library=F:\biocbuild\bbs-3.19-bioc\R\library --no-vignettes --timings ADImpute_1.14.0.tar.gz
###
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* using log directory 'F:/biocbuild/bbs-3.19-bioc/meat/ADImpute.Rcheck'
* using R version 4.4.0 (2024-04-24 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* using option '--no-vignettes'
* checking for file 'ADImpute/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'ADImpute' version '1.14.0'
* 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 whether package 'ADImpute' 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 code 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 ... WARNING
'::' or ':::' imports not declared from:
  'SCRABBLE' 'scImpute'
* 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 contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in 'vignettes' ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
       user system elapsed
Impute 0.81   0.09    5.06
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... 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
See
  'F:/biocbuild/bbs-3.19-bioc/meat/ADImpute.Rcheck/00check.log'
for details.

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###
### Running command:
###
###   F:\biocbuild\bbs-3.19-bioc\R\bin\R.exe CMD INSTALL ADImpute
###
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* installing to library 'F:/biocbuild/bbs-3.19-bioc/R/library'
* installing *source* package 'ADImpute' ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** 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 (ADImpute)

R version 4.4.0 (2024-04-24 ucrt) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

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(ADImpute)
> 
> test_check("ADImpute")
Calculating Spearman distance. 
Calculating Pearson distance. 
 Clustering for k : 10
 Clustering for k : 11
 Clustering for k : 12
 Clustering for k : 13
 Clustering for k : 14
 Clustering for k : 15
cls object have 12 number of clustering sets.


 Zero percentage : 
Before impute : 76 percent. 
After impute : 31 percent. 
46 percent of zeros are imputed. 
Calculating Spearman distance. 
Calculating Pearson distance. 
 Clustering for k : 10
 Clustering for k : 11
 Clustering for k : 12
 Clustering for k : 13
 Clustering for k : 14
 Clustering for k : 15
cls object have 12 number of clustering sets.


 Zero percentage : 
Before impute : 84 percent. 
After impute : 59 percent. 
25 percent of zeros are imputed. 
Calculating Spearman distance. 
Calculating Pearson distance. 
 Clustering for k : 10
 Clustering for k : 11
 Clustering for k : 12
 Clustering for k : 13
 Clustering for k : 14
 Clustering for k : 15
cls object have 12 number of clustering sets.


 Zero percentage : 
Before impute : 84 percent. 
After impute : 63 percent. 
22 percent of zeros are imputed. 
Calculating Spearman distance. 
Calculating Pearson distance. 
 Clustering for k : 10
 Clustering for k : 11
 Clustering for k : 12
 Clustering for k : 13
 Clustering for k : 14
 Clustering for k : 15
cls object have 12 number of clustering sets.


 Zero percentage : 
Before impute : 76 percent. 
After impute : 42 percent. 
34 percent of zeros are imputed. 
Calculating Spearman distance. 
Calculating Pearson distance. 
 Clustering for k : 10
 Clustering for k : 11
 Clustering for k : 12
 Clustering for k : 13
 Clustering for k : 14
 Clustering for k : 15
cls object have 12 number of clustering sets.


 Zero percentage : 
Before impute : 76 percent. 
After impute : 47 percent. 
30 percent of zeros are imputed. 
[ FAIL 0 | WARN 8 | SKIP 0 | PASS 134 ]

[ FAIL 0 | WARN 8 | SKIP 0 | PASS 134 ]
> 
> proc.time()
   user  system elapsed 
  60.56    2.85  100.87