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CHECK report for SIMLR on malbec1

This page was generated on 2018-04-12 13:15:28 -0400 (Thu, 12 Apr 2018).

Package 1301/1472HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
SIMLR 1.4.1
Daniele Ramazzotti
Snapshot Date: 2018-04-11 16:45:18 -0400 (Wed, 11 Apr 2018)
URL: https://git.bioconductor.org/packages/SIMLR
Branch: RELEASE_3_6
Last Commit: 1fe35a0
Last Changed Date: 2018-03-24 09:14:20 -0400 (Sat, 24 Mar 2018)
malbec1 Linux (Ubuntu 16.04.1 LTS) / x86_64  NotNeeded  OK [ OK ]UNNEEDED, same version exists in internal repository
tokay1 Windows Server 2012 R2 Standard / x64  NotNeeded  OK  OK  OK UNNEEDED, same version exists in internal repository
veracruz1 OS X 10.11.6 El Capitan / x86_64  NotNeeded  OK  OK  OK UNNEEDED, same version exists in internal repository

Summary

Package: SIMLR
Version: 1.4.1
Command: /home/biocbuild/bbs-3.6-bioc/R/bin/R CMD check --no-vignettes --timings SIMLR_1.4.1.tar.gz
StartedAt: 2018-04-12 02:58:32 -0400 (Thu, 12 Apr 2018)
EndedAt: 2018-04-12 03:04:44 -0400 (Thu, 12 Apr 2018)
EllapsedTime: 372.2 seconds
RetCode: 0
Status:  OK 
CheckDir: SIMLR.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.6-bioc/R/bin/R CMD check --no-vignettes --timings SIMLR_1.4.1.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.6-bioc/meat/SIMLR.Rcheck’
* using R version 3.4.4 (2018-03-15)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘SIMLR/DESCRIPTION’ ... OK
* this is package ‘SIMLR’ version ‘1.4.1’
* 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 ‘SIMLR’ can be installed ... OK
* checking installed package size ... NOTE
  installed size is  6.4Mb
  sub-directories of 1Mb or more:
    data   4.5Mb
    libs   1.6Mb
* 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 ... 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 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 compiled code ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU or elapsed time > 5s
                                    user system elapsed
SIMLR_Feature_Ranking             69.308  0.816  70.172
CIMLR                             19.396  0.096  27.829
SIMLR                             17.260  0.148  20.382
CIMLR_Estimate_Number_of_Clusters  4.712  0.108  13.349
SIMLR_Estimate_Number_of_Clusters  2.648  0.104   5.375
* 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 NOTE
See
  ‘/home/biocbuild/bbs-3.6-bioc/meat/SIMLR.Rcheck/00check.log’
for details.



Installation output

SIMLR.Rcheck/00install.out

* installing *source* package ‘SIMLR’ ...
** libs
g++  -I/home/biocbuild/bbs-3.6-bioc/R/include -DNDEBUG  -I"/home/biocbuild/bbs-3.6-bioc/R/library/Rcpp/include" -I/usr/local/include   -fpic  -g -O2  -Wall -c RcppExports.cpp -o RcppExports.o
g++  -I/home/biocbuild/bbs-3.6-bioc/R/include -DNDEBUG  -I"/home/biocbuild/bbs-3.6-bioc/R/library/Rcpp/include" -I/usr/local/include   -fpic  -g -O2  -Wall -c Rtsne.cpp -o Rtsne.o
gcc -I/home/biocbuild/bbs-3.6-bioc/R/include -DNDEBUG  -I"/home/biocbuild/bbs-3.6-bioc/R/library/Rcpp/include" -I/usr/local/include   -fpic  -g -O2  -Wall -c projsplx_R.c -o projsplx_R.o
g++  -I/home/biocbuild/bbs-3.6-bioc/R/include -DNDEBUG  -I"/home/biocbuild/bbs-3.6-bioc/R/library/Rcpp/include" -I/usr/local/include   -fpic  -g -O2  -Wall -c sptree.cpp -o sptree.o
g++  -I/home/biocbuild/bbs-3.6-bioc/R/include -DNDEBUG  -I"/home/biocbuild/bbs-3.6-bioc/R/library/Rcpp/include" -I/usr/local/include   -fpic  -g -O2  -Wall -c tsne.cpp -o tsne.o
In file included from tsne.cpp:41:0:
vptree.h: In instantiation of ‘void VpTree<T, distance>::search(VpTree<T, distance>::Node*, const T&, int, std::priority_queue<VpTree<T, distance>::HeapItem>&) [with T = DataPoint; double (* distance)(const T&, const T&) = precomputed_distance; typename std::vector<VpTree<T, distance>::HeapItem, std::allocator<VpTree<T, distance>::HeapItem> >::value_type = VpTree<DataPoint, precomputed_distance>::HeapItem]’:
vptree.h:131:15:   required from ‘void VpTree<T, distance>::search(const T&, int, std::vector<T>*, std::vector<double>*) [with T = DataPoint; double (* distance)(const T&, const T&) = precomputed_distance]’
tsne.cpp:472:59:   required from here
vptree.h:237:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
             if(heap.size() == k) heap.pop();                 // remove furthest node from result list (if we already have k results)
                            ^
In file included from tsne.cpp:41:0:
vptree.h:239:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
             if(heap.size() == k) _tau = heap.top().dist;     // update value of tau (farthest point in result list)
                            ^
In file included from tsne.cpp:41:0:
vptree.h: In instantiation of ‘void VpTree<T, distance>::search(VpTree<T, distance>::Node*, const T&, int, std::priority_queue<VpTree<T, distance>::HeapItem>&) [with T = DataPoint; double (* distance)(const T&, const T&) = euclidean_distance; typename std::vector<VpTree<T, distance>::HeapItem, std::allocator<VpTree<T, distance>::HeapItem> >::value_type = VpTree<DataPoint, euclidean_distance>::HeapItem]’:
vptree.h:131:15:   required from ‘void VpTree<T, distance>::search(const T&, int, std::vector<T>*, std::vector<double>*) [with T = DataPoint; double (* distance)(const T&, const T&) = euclidean_distance]’
tsne.cpp:550:59:   required from here
vptree.h:237:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
             if(heap.size() == k) heap.pop();                 // remove furthest node from result list (if we already have k results)
                            ^
In file included from tsne.cpp:41:0:
vptree.h:239:28: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
             if(heap.size() == k) _tau = heap.top().dist;     // update value of tau (farthest point in result list)
                            ^
tsne.cpp: In member function ‘bool TSNE::load_data(double**, int*, int*, int*, double*, double*, int*)’:
tsne.cpp:938:29: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
  fread(n, sizeof(int), 1, h);           // number of datapoints
                             ^
tsne.cpp:939:29: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
  fread(d, sizeof(int), 1, h);           // original dimensionality
                             ^
tsne.cpp:940:39: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
     fread(theta, sizeof(double), 1, h);          // gradient accuracy
                                       ^
tsne.cpp:941:41: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
  fread(perplexity, sizeof(double), 1, h);        // perplexity
                                         ^
tsne.cpp:942:36: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
   fread(no_dims, sizeof(int), 1, h);                                      // output dimensionality
                                    ^
tsne.cpp:945:45: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
     fread(*data, sizeof(double), *n * *d, h);                               // the data
                                             ^
tsne.cpp:946:50: warning: ignoring return value of ‘size_t fread(void*, size_t, size_t, FILE*)’, declared with attribute warn_unused_result [-Wunused-result]
  if(!feof(h)) fread(rand_seed, sizeof(int), 1, h);                       // random seed
                                                  ^
g++ -shared -L/home/biocbuild/bbs-3.6-bioc/R/lib -L/usr/local/lib -o SIMLR.so RcppExports.o Rtsne.o projsplx_R.o sptree.o tsne.o -L/home/biocbuild/bbs-3.6-bioc/R/lib -lRlapack -L/home/biocbuild/bbs-3.6-bioc/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/biocbuild/bbs-3.6-bioc/R/lib -lR
installing to /home/biocbuild/bbs-3.6-bioc/meat/SIMLR.Rcheck/SIMLR/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (SIMLR)

Tests output

SIMLR.Rcheck/tests/testthat.Rout


R version 3.4.4 (2018-03-15) -- "Someone to Lean On"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (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.

> Sys.setenv("R_TESTS" = "")
> 
> library(testthat)
> library(SIMLR)
> 
> test_check("SIMLR")
Computing the multiple Kernels.
Performing network diffiusion.
Iteration:  1 
Iteration:  2 
Iteration:  3 
Iteration:  4 
Iteration:  5 
Iteration:  6 
Iteration:  7 
Iteration:  8 
Iteration:  9 
Iteration:  10 
Iteration:  11 
Performing t-SNE.
Epoch: Iteration # 100  error is:  0.1326426 
Epoch: Iteration # 200  error is:  0.08721104 
Epoch: Iteration # 300  error is:  0.05808032 
Epoch: Iteration # 400  error is:  0.05713627 
Epoch: Iteration # 500  error is:  0.0570977 
Epoch: Iteration # 600  error is:  0.0570602 
Epoch: Iteration # 700  error is:  0.05702496 
Epoch: Iteration # 800  error is:  0.05699161 
Epoch: Iteration # 900  error is:  0.05696026 
Epoch: Iteration # 1000  error is:  0.05693017 
Performing Kmeans.
Performing t-SNE.
Epoch: Iteration # 100  error is:  11.78908 
Epoch: Iteration # 200  error is:  0.7079761 
Epoch: Iteration # 300  error is:  0.512032 
Epoch: Iteration # 400  error is:  0.6009774 
Epoch: Iteration # 500  error is:  0.3636438 
Epoch: Iteration # 600  error is:  0.3009944 
Epoch: Iteration # 700  error is:  0.2812429 
Epoch: Iteration # 800  error is:  0.267533 
Epoch: Iteration # 900  error is:  0.1601832 
Epoch: Iteration # 1000  error is:  0.1214188 
Computing the multiple Kernels.
Performing network diffiusion.
Iteration:  1 
Iteration:  2 
Iteration:  3 
Iteration:  4 
Iteration:  5 
Iteration:  6 
Iteration:  7 
Iteration:  8 
Iteration:  9 
Iteration:  10 
Iteration:  11 
Iteration:  12 
Iteration:  13 
Iteration:  14 
Iteration:  15 
Iteration:  16 
Iteration:  17 
Performing t-SNE.
Epoch: Iteration # 100  error is:  0.07916304 
Epoch: Iteration # 200  error is:  0.07265125 
Epoch: Iteration # 300  error is:  0.06588937 
Epoch: Iteration # 400  error is:  0.06431247 
Epoch: Iteration # 500  error is:  0.06408182 
Epoch: Iteration # 600  error is:  0.06389943 
Epoch: Iteration # 700  error is:  0.06375158 
Epoch: Iteration # 800  error is:  0.06362855 
Epoch: Iteration # 900  error is:  0.06352469 
Epoch: Iteration # 1000  error is:  0.06343539 
Performing Kmeans.
Performing t-SNE.
Epoch: Iteration # 100  error is:  15.11473 
Epoch: Iteration # 200  error is:  1.566407 
Epoch: Iteration # 300  error is:  0.8852822 
Epoch: Iteration # 400  error is:  0.593069 
Epoch: Iteration # 500  error is:  0.469659 
Epoch: Iteration # 600  error is:  0.792341 
Epoch: Iteration # 700  error is:  0.4968921 
Epoch: Iteration # 800  error is:  0.770514 
Epoch: Iteration # 900  error is:  0.5251297 
Epoch: Iteration # 1000  error is:  0.974118 
Computing the multiple Kernels.
Performing network diffiusion.
Iteration:  1 
Iteration:  2 
Iteration:  3 
Iteration:  4 
Iteration:  5 
Iteration:  6 
Iteration:  7 
Iteration:  8 
Iteration:  9 
Iteration:  10 
Iteration:  11 
Performing t-SNE.
Epoch: Iteration # 100  error is:  0.1188644 
Epoch: Iteration # 200  error is:  0.06789612 
Epoch: Iteration # 300  error is:  0.05787332 
Epoch: Iteration # 400  error is:  0.05782322 
Epoch: Iteration # 500  error is:  0.05777752 
Epoch: Iteration # 600  error is:  0.05773384 
Epoch: Iteration # 700  error is:  0.05769336 
Epoch: Iteration # 800  error is:  0.05765563 
Epoch: Iteration # 900  error is:  0.05761978 
Epoch: Iteration # 1000  error is:  0.0575862 
Performing Kmeans.
Performing t-SNE.
Epoch: Iteration # 100  error is:  11.28532 
Epoch: Iteration # 200  error is:  0.7066455 
Epoch: Iteration # 300  error is:  0.568004 
Epoch: Iteration # 400  error is:  0.5332019 
Epoch: Iteration # 500  error is:  0.486104 
Epoch: Iteration # 600  error is:  0.3944789 
Epoch: Iteration # 700  error is:  0.3097391 
Epoch: Iteration # 800  error is:  0.2987659 
Epoch: Iteration # 900  error is:  0.2871239 
Epoch: Iteration # 1000  error is:  0.2527763 
Computing the multiple Kernels.
Performing network diffusion.
Iteration:  1 
Iteration:  2 
Iteration:  3 
Iteration:  4 
Iteration:  5 
Iteration:  6 
Iteration:  7 
Iteration:  8 
Iteration:  9 
Iteration:  10 
Iteration:  11 
Performing t-SNE.
Epoch: Iteration # 100  error is:  0.1871698 
Epoch: Iteration # 200  error is:  0.09894385 
Epoch: Iteration # 300  error is:  0.09686709 
Epoch: Iteration # 400  error is:  0.09643462 
Epoch: Iteration # 500  error is:  0.1065708 
Epoch: Iteration # 600  error is:  0.09599006 
Epoch: Iteration # 700  error is:  0.4685521 
Epoch: Iteration # 800  error is:  0.09790608 
Epoch: Iteration # 900  error is:  0.09616597 
Epoch: Iteration # 1000  error is:  0.09567124 
Performing Kmeans.
Performing t-SNE.
Epoch: Iteration # 100  error is:  22.81257 
Epoch: Iteration # 200  error is:  1.476039 
Epoch: Iteration # 300  error is:  5.737254 
Epoch: Iteration # 400  error is:  1.151689 
Epoch: Iteration # 500  error is:  0.5234374 
Epoch: Iteration # 600  error is:  1.025298 
Epoch: Iteration # 700  error is:  0.9642921 
Epoch: Iteration # 800  error is:  1.826024 
Epoch: Iteration # 900  error is:  0.7731801 
Epoch: Iteration # 1000  error is:  0.2646443 
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══ testthat results  ═══════════════════════════════════════════════════════════
OK: 8 SKIPPED: 0 FAILED: 0
> 
> proc.time()
   user  system elapsed 
146.072   1.432 164.100 

Example timings

SIMLR.Rcheck/SIMLR-Ex.timings

nameusersystemelapsed
CIMLR19.396 0.09627.829
CIMLR_Estimate_Number_of_Clusters 4.712 0.10813.349
SIMLR17.260 0.14820.382
SIMLR_Estimate_Number_of_Clusters2.6480.1045.375
SIMLR_Feature_Ranking69.308 0.81670.172
SIMLR_Large_Scale0.0480.0000.049