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BioC 3.3: CHECK report for predictionet on oaxaca

This page was generated on 2016-10-13 12:58:01 -0700 (Thu, 13 Oct 2016).

Package 878/1210HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
predictionet 1.18.0
Benjamin Haibe-Kains , Catharina Olsen
Snapshot Date: 2016-10-12 17:20:15 -0700 (Wed, 12 Oct 2016)
URL: https://hedgehog.fhcrc.org/bioconductor/branches/RELEASE_3_3/madman/Rpacks/predictionet
Last Changed Rev: 117079 / Revision: 122332
Last Changed Date: 2016-05-03 14:20:18 -0700 (Tue, 03 May 2016)
zin2 Linux (Ubuntu 14.04.2 LTS) / x86_64  NotNeeded  OK  WARNINGS UNNEEDED, same version exists in internal repository
moscato2 Windows Server 2008 R2 Enterprise SP1 (64-bit) / x64 ...NOT SUPPORTED...NOT SUPPORTED...NOT SUPPORTED...
oaxaca Mac OS X Mavericks (10.9.5) / x86_64  NotNeeded  OK [ WARNINGS ] OK UNNEEDED, same version exists in internal repository

Summary

Package: predictionet
Version: 1.18.0
Command: /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --no-vignettes --timings predictionet_1.18.0.tar.gz
StartedAt: 2016-10-13 05:08:29 -0700 (Thu, 13 Oct 2016)
EndedAt: 2016-10-13 05:09:43 -0700 (Thu, 13 Oct 2016)
EllapsedTime: 74.1 seconds
RetCode: 0
Status:  WARNINGS 
CheckDir: predictionet.Rcheck
Warnings: 1

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --no-vignettes --timings predictionet_1.18.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.3-bioc/meat/predictionet.Rcheck’
* using R version 3.3.1 (2016-06-21)
* using platform: x86_64-apple-darwin13.4.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘predictionet/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘predictionet’ version ‘1.18.0’
* 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 for sufficient/correct file permissions ... OK
* checking whether package ‘predictionet’ 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
* 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
Packages in Depends field not imported from:
  ‘catnet’ ‘igraph’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
.build.regression.regrnet: no visible global function definition for
  ‘formula’
.build.regression.regrnet: no visible global function definition for
  ‘lm’
.build2.mim: no visible global function definition for ‘cor’
.exportGML: no visible global function definition for ‘vcount’
.exportGML: no visible global function definition for ‘ecount’
.get.ii4triplets.gaussian: no visible global function definition for
  ‘cor’
.pred.onegene.bayesnet.fs : <anonymous>: no visible global function
  definition for ‘quantile’
.regrnet2matrixtopo: no visible global function definition for
  ‘coefficients’
netinf: no visible global function definition for ‘quantile’
netinf : <anonymous>: no visible global function definition for
  ‘quantile’
netinf: no visible global function definition for ‘cnMatParents’
netinf.cv : <anonymous>: no visible global function definition for
  ‘quantile’
netinf2gml: no visible global function definition for ‘sessionInfo’
netinf2gml: no visible global function definition for ‘ecount’
netinf2gml: no visible global function definition for ‘vcount’
pred.score : <anonymous>: no visible global function definition for
  ‘quantile’
pred.score : myfoo: no visible global function definition for
  ‘complete.cases’
predictionet.stability.cv : <anonymous>: no visible global function
  definition for ‘quantile’
Undefined global functions or variables:
  cnMatParents coefficients complete.cases cor ecount formula lm
  quantile sessionInfo vcount
Consider adding
  importFrom("stats", "coefficients", "complete.cases", "cor", "formula",
             "lm", "quantile")
  importFrom("utils", "sessionInfo")
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 ... 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 ... WARNING
  
  Note: significantly better compression could be obtained
        by using R CMD build --resave-data
                         old_size new_size compress
  expO.colon.ras.rda        624Kb    556Kb       xz
  jorissen.colon.ras.rda    614Kb    547Kb       xz
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking compiled code ... NOTE
File ‘predictionet/libs/predictionet.so’:
  Found ‘_rand’, possibly from ‘rand’ (C)
    Object: ‘mrnet_ensemble_standalone.o’
  Found ‘_srand’, possibly from ‘srand’ (C)
    Object: ‘mrnet_ensemble_standalone.o’

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor the system RNG.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... 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, 4 NOTEs
See
  ‘/Users/biocbuild/bbs-3.3-bioc/meat/predictionet.Rcheck/00check.log’
for details.


predictionet.Rcheck/00install.out:

* installing *source* package ‘predictionet’ ...
** libs
clang++ -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I/usr/local/include -I/usr/local/include/freetype2 -I/opt/X11/include    -fPIC  -Wall -mtune=core2 -g -O2  -c foo_mrmr.cpp -o foo_mrmr.o
clang++ -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I/usr/local/include -I/usr/local/include/freetype2 -I/opt/X11/include    -fPIC  -Wall -mtune=core2 -g -O2  -c mrnet_adapted.cpp -o mrnet_adapted.o
clang++ -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I/usr/local/include -I/usr/local/include/freetype2 -I/opt/X11/include    -fPIC  -Wall -mtune=core2 -g -O2  -c mrnet_adapted2.cpp -o mrnet_adapted2.o
clang++ -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I/usr/local/include -I/usr/local/include/freetype2 -I/opt/X11/include    -fPIC  -Wall -mtune=core2 -g -O2  -c mrnet_ensemble_standalone.cpp -o mrnet_ensemble_standalone.o
mrnet_ensemble_standalone.cpp:111:7: warning: unused variable 'found' [-Wunused-variable]
        bool found=false;
             ^
mrnet_ensemble_standalone.cpp:283:6: warning: unused variable 'rootdepth' [-Wunused-variable]
        int rootdepth=tr.depth(it);
            ^
mrnet_ensemble_standalone.cpp:304:6: warning: unused variable 'rootdepth' [-Wunused-variable]
        int rootdepth=tr.depth(it);
            ^
mrnet_ensemble_standalone.cpp:377:16: warning: unused variable 'boot_val' [-Wunused-variable]
        double *mim, *boot_val;
                      ^
mrnet_ensemble_standalone.cpp:507:7: warning: unused variable 'cnt_back' [-Wunused-variable]
                int cnt_back=cnt2;
                    ^
mrnet_ensemble_standalone.cpp:442:7: warning: unused variable 'nsub' [-Wunused-variable]
        int  nsub, *prev_sel,nsamples_boot=nsamples,*to_remove;
             ^
mrnet_ensemble_standalone.cpp:560:9: warning: unused variable 'max_val' [-Wunused-variable]
        double max_val=-1000;
               ^
mrnet_ensemble_standalone.cpp:586:48: warning: unused variable 'nprev_sel' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, nprev_sel=0; 
                                                      ^
mrnet_ensemble_standalone.cpp:777:13: warning: unused variable 'cnt2' [-Wunused-variable]
                int cnt=1,cnt2=0;
                          ^
mrnet_ensemble_standalone.cpp:780:7: warning: unused variable 'rootdepth' [-Wunused-variable]
                int rootdepth=res_tree.depth(it_final);
                    ^
mrnet_ensemble_standalone.cpp:794:7: warning: unused variable 'ind' [-Wunused-variable]
                int ind=0;
                    ^
mrnet_ensemble_standalone.cpp:722:30: warning: unused variable 'res_all' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2,*namat;
                                    ^
mrnet_ensemble_standalone.cpp:722:39: warning: unused variable 'res_all2' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2,*namat;
                                             ^
mrnet_ensemble_standalone.cpp:723:6: warning: unused variable 'vec_tmp' [-Wunused-variable]
        int vec_tmp;
            ^
mrnet_ensemble_standalone.cpp:800:16: warning: variable 'res_old' is uninitialized when used here [-Wuninitialized]
                                res_all[k]=res_old[k];
                                           ^˜˜˜˜˜˜
mrnet_ensemble_standalone.cpp:793:25: note: initialize the variable 'res_old' to silence this warning
                int *res_all, *res_old;
                                      ^
                                       = NULL
mrnet_ensemble_standalone.cpp:849:21: warning: unused variable 'vec_sort' [-Wunused-variable]
        double *vec_mean, *vec_sort, *vec_sd,  *vec_local_max_mean, *vec_local_max_sd,tmp_val_max, *mrmr_vec_sort,*vec_sol_local_mrmr;
                           ^
mrnet_ensemble_standalone.cpp:848:48: warning: unused variable 'tmp_val_max_ind' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; 
                                                      ^
mrnet_ensemble_standalone.cpp:848:66: warning: unused variable 'prev_sel_tmp' [-Wunused-variable]
        int  *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; 
                                                                        ^
mrnet_ensemble_standalone.cpp:1046:13: warning: unused variable 'cnt2' [-Wunused-variable]
                int cnt=1,cnt2=0;
                          ^
mrnet_ensemble_standalone.cpp:1049:7: warning: unused variable 'rootdepth' [-Wunused-variable]
                int rootdepth=res_tree.depth(it_final);
                    ^
mrnet_ensemble_standalone.cpp:1063:7: warning: unused variable 'ind' [-Wunused-variable]
                int ind=0;
                    ^
mrnet_ensemble_standalone.cpp:993:6: warning: unused variable 'vec_tmp' [-Wunused-variable]
        int vec_tmp;
            ^
mrnet_ensemble_standalone.cpp:992:30: warning: unused variable 'res_all' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2, *namat;
                                    ^
mrnet_ensemble_standalone.cpp:992:39: warning: unused variable 'res_all2' [-Wunused-variable]
        int *predn, *rep_boot,*res,*res_all,*res_all2, *namat;
                                             ^
mrnet_ensemble_standalone.cpp:1067:16: warning: variable 'res_old' is uninitialized when used here [-Wuninitialized]
                                res_all[k]=res_old[k];
                                           ^˜˜˜˜˜˜
mrnet_ensemble_standalone.cpp:1062:25: note: initialize the variable 'res_old' to silence this warning
                int *res_all, *res_old;
                                      ^
                                       = NULL
25 warnings generated.
clang++ -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/lib -o predictionet.so foo_mrmr.o mrnet_adapted.o mrnet_adapted2.o mrnet_ensemble_standalone.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
installing to /Users/biocbuild/bbs-3.3-bioc/meat/predictionet.Rcheck/predictionet/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 (predictionet)

predictionet.Rcheck/predictionet-Ex.timings:

nameusersystemelapsed
adj.get.hops0.0160.0010.769
adj.remove.cycles0.0010.0010.002
data.discretize0.2570.0080.265
expO.colon.ras0.0010.0000.002
jorissen.colon.ras0.0010.0000.002
net2pred0.1520.0040.156
netinf0.0880.0030.092
netinf.cv0.3000.0160.315
netinf.predict0.1610.0020.163
netinf2gml0.3160.0040.322
pred.score0.0080.0000.009
predictionet.press.statistic0.3130.0050.319
predictionet.stability.cv0.3970.0030.401