Back to Multiple platform build/check report for BioC 3.14
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This page was generated on 2022-04-13 12:07:19 -0400 (Wed, 13 Apr 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 20.04.4 LTS)x86_644.1.3 (2022-03-10) -- "One Push-Up" 4324
tokay2Windows Server 2012 R2 Standardx644.1.3 (2022-03-10) -- "One Push-Up" 4077
machv2macOS 10.14.6 Mojavex86_644.1.3 (2022-03-10) -- "One Push-Up" 4137
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

CHECK results for scMerge on tokay2


To the developers/maintainers of the scMerge package:
- Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/scMerge.git to
reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1730/2083HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
scMerge 1.10.0  (landing page)
Yingxin Lin
Snapshot Date: 2022-04-12 01:55:07 -0400 (Tue, 12 Apr 2022)
git_url: https://git.bioconductor.org/packages/scMerge
git_branch: RELEASE_3_14
git_last_commit: 8a5a638
git_last_commit_date: 2021-10-26 12:51:33 -0400 (Tue, 26 Oct 2021)
nebbiolo2Linux (Ubuntu 20.04.4 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
tokay2Windows Server 2012 R2 Standard / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
machv2macOS 10.14.6 Mojave / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published

Summary

Package: scMerge
Version: 1.10.0
Command: C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:scMerge.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings scMerge_1.10.0.tar.gz
StartedAt: 2022-04-13 02:27:11 -0400 (Wed, 13 Apr 2022)
EndedAt: 2022-04-13 02:33:50 -0400 (Wed, 13 Apr 2022)
EllapsedTime: 399.4 seconds
RetCode: 0
Status:   OK  
CheckDir: scMerge.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:scMerge.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings scMerge_1.10.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.14-bioc/meat/scMerge.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 'scMerge/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'scMerge' version '1.10.0'
* 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 'scMerge' 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
* loading checks for arch 'i386'
** 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
* loading checks for arch 'x64'
** 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 ... NOTE
Namespace in Imports field not imported from: 'parallel'
  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 ... 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 data for ASCII and uncompressed saves ... OK
* checking files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... OK
** running examples for arch 'x64' ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'testthat.R'
 OK
** running tests for arch 'x64' ...
  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 NOTE
See
  'C:/Users/biocbuild/bbs-3.14-bioc/meat/scMerge.Rcheck/00check.log'
for details.



Installation output

scMerge.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O http://155.52.207.166/BBS/3.14/bioc/src/contrib/scMerge_1.10.0.tar.gz && rm -rf scMerge.buildbin-libdir && mkdir scMerge.buildbin-libdir && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=scMerge.buildbin-libdir scMerge_1.10.0.tar.gz && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL scMerge_1.10.0.zip && rm scMerge_1.10.0.tar.gz scMerge_1.10.0.zip
###
##############################################################################
##############################################################################


  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
 15 3369k   15  529k    0     0   748k      0  0:00:04 --:--:--  0:00:04  748k
 63 3369k   63 2148k    0     0  1262k      0  0:00:02  0:00:01  0:00:01 1262k
100 3369k  100 3369k    0     0  1516k      0  0:00:02  0:00:02 --:--:-- 1517k

install for i386

* installing *source* package 'scMerge' ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'scMerge'
    finding HTML links ... done
    example_sce                             html  
    fastRUVIII                              html  
    ruvSimulate                             html  
    scMerge                                 html  
    scRUVIII                                html  
    scRUVg                                  html  
    scReplicate                             html  
    scSEGIndex                              html  
    sce_cbind                               html  
    segList                                 html  
    segList_ensemblGeneID                   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

install for x64

* installing *source* package 'scMerge' ...
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'scMerge' as scMerge_1.10.0.zip
* DONE (scMerge)
* installing to library 'C:/Users/biocbuild/bbs-3.14-bioc/R/library'
package 'scMerge' successfully unpacked and MD5 sums checked

Tests output

scMerge.Rcheck/tests_i386/testthat.Rout


R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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(scMerge)
> 
> test_check("scMerge")
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   4
Dimension of the replicates mapping matrix: 
[1] 200   3
Selecting optimal RUVk 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     3     2       1
5     2     2       2
6     1     2       3
Dimension of the replicates mapping matrix: 
[1] 200   3
Could not find a  batch  column in colData(sce_combine)Selecting optimal RUVk 
No cell type info, replicate matrix will be used as cell type info 
Performing supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. No mutual nearest neighbour clustering 
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     3     2       1
5     2     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 4. No supplied marker but supplied marker_list for MNN clustering 
    Taking the union of marker_list as the markers 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. Cell type indices 
 3. No mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     1     1       2
3     2     1       3
4     3     2       1
5     2     2       2
6     1     2       3
 7. Finishing semi-supervised scMerge with subsets of known cell type 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     1     2       1
5     3     2       2
6     2     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker but supplied marker_list for MNN clustering 
    Taking the union of marker_list as the markers 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
5     4     2       2
6     5     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     1     2       1
5     3     2       2
6     2     2       3
 7. Performing semi-supervised scMerge with wanted variation 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     1     1       2
3     2     1       3
4     3     2       1
5     2     2       2
6     1     2       3
 7. Performing semi-supervised scMerge with wanted variation 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    36 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    36 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     1     1       2
3     3     1       3
4     1     2       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    63 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
5     2     2       2
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    63 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     2     2       1
5     1     2       2
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    24 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     1     1       1
2     2     2       1
3     1     3       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    24 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     1     1       1
2     2     2       1
3     1     3       1

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[ FAIL 0 | WARN 0 | SKIP 0 | PASS 36 ]
> 
> proc.time()
   user  system elapsed 
  37.15    2.46   39.64 

scMerge.Rcheck/tests_x64/testthat.Rout


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(scMerge)
> 
> test_check("scMerge")
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 100   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   3
Dimension of the replicates mapping matrix: 
[1] 200   4
Dimension of the replicates mapping matrix: 
[1] 200   3
Selecting optimal RUVk 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     3     2       1
5     2     2       2
6     1     2       3
Dimension of the replicates mapping matrix: 
[1] 200   3
Could not find a  batch  column in colData(sce_combine)Selecting optimal RUVk 
No cell type info, replicate matrix will be used as cell type info 
Performing supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. No mutual nearest neighbour clustering 
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     3     2       1
5     2     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 4. No supplied marker but supplied marker_list for MNN clustering 
    Taking the union of marker_list as the markers 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. No cell type indices 
 3. Mutual nearest neighbour clustering 
 5. Calculating supervised clustering list 
 6. Create Mutual Nearest Clusters. Preview cells-to-cell_type matching graph and matrix:
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing semi-supervised scMerge with: 
 1. Cell type information 
 2. Cell type indices 
 3. No mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     1     1       2
3     2     1       3
4     3     2       1
5     2     2       2
6     1     2       3
 7. Finishing semi-supervised scMerge with subsets of known cell type 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     1     2       1
5     3     2       2
6     2     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker but supplied marker_list for MNN clustering 
    Taking the union of marker_list as the markers 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
5     4     2       2
6     5     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     4     2       1
5     5     2       2
6     1     2       3
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     1     2       1
5     3     2       2
6     2     2       3
 7. Performing semi-supervised scMerge with wanted variation 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    75 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     1     1       2
3     2     1       3
4     3     2       1
5     2     2       2
6     1     2       3
 7. Performing semi-supervised scMerge with wanted variation 
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    36 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    36 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     1     1       2
3     3     1       3
4     1     2       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    63 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     2     1       1
2     3     1       2
3     1     1       3
4     1     2       1
5     2     2       2
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    63 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     3     1       1
2     2     1       2
3     1     1       3
4     2     2       1
5     1     2       2
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    24 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     1     1       1
2     2     2       1
3     1     3       1
Performing unsupervised scMerge with: 
 1. No cell type information 
 2. Cell type indices not relevant here 
 3. Mutual nearest neighbour matching 
 4. No supplied marker and no supplied marker_list for MNN clustering 
    Finding Highly Variable Genes for clustering 
    24 HVG were found 
 5. PCA and Kmeans clustering will be performed on each batch 
 6. Create Mutual Nearest Clusters. Preview cells-cell_type matching output matrix: 
  group batch cluster
1     1     1       1
2     2     2       1
3     1     3       1

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[ FAIL 0 | WARN 0 | SKIP 0 | PASS 36 ]
> 
> proc.time()
   user  system elapsed 
  42.06    1.21   43.29 

Example timings

scMerge.Rcheck/examples_i386/scMerge-Ex.timings

nameusersystemelapsed
fastRUVIII1.110.031.14
ruvSimulate2.110.162.27
scMerge2.820.233.06
scRUVIII1.050.071.11
scRUVg0.020.000.02
scReplicate0.980.000.98
scSEGIndex3.020.043.06
sce_cbind1.430.131.57

scMerge.Rcheck/examples_x64/scMerge-Ex.timings

nameusersystemelapsed
fastRUVIII0.970.031.00
ruvSimulate3.960.064.03
scMerge2.220.072.29
scRUVIII1.140.031.17
scRUVg000
scReplicate1.110.021.13
scSEGIndex303
sce_cbind2.080.072.16