* using log directory 'd:/Rcompile/CRANpkg/local/3.0/mlr.Rcheck' * using R version 3.0.3 (2014-03-06) * using platform: i386-w64-mingw32 (32-bit) * using session charset: ISO8859-1 * checking for file 'mlr/DESCRIPTION' ... OK * this is package 'mlr' version '2.3' * 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 'mlr' can be installed ... OK * checking installed package size ... OK * checking package 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 ** checking loading without being on the library search path ... 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 loading without being on the library search path ... OK * checking dependencies in R code ... NOTE Missing or unexported object: 'kohonen::predict.kohonen' See the information on DESCRIPTION files in the chapter 'Creating R packages' of the 'Writing R Extensions' manual. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... NOTE Error in inDL(x, as.logical(local), as.logical(now), ...) : unable to load shared object 'd:/RCompile/CRANpkg/lib/3.0/curl/libs/i386/curl.dll': `maximal number of DLLs reached... * 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 for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking compiled code ... OK * checking examples ... ** running examples for arch 'i386' ... ERROR Running examples in 'mlr-Ex.R' failed The error most likely occurred in: > ### Name: makeFilterWrapper > ### Title: Fuse learner with a feature filter method. > ### Aliases: makeFilterWrapper > > ### ** Examples > > task = makeClassifTask(data = iris, target = "Species") > lrn = makeLearner("classif.lda") > inner = makeResampleDesc("Holdout") > outer = makeResampleDesc("CV", iters = 2) > lrn = makeFilterWrapper(lrn, fw.perc = 0.5) > mod = train(lrn, task) Error in unlist(mclapply(1:ncol(dat), function(k) { : could not find function "mclapply" Calls: train ... -> -> rm.na.levels -> unlist Timing stopped at: 0.01 0 0 Execution halted ** running examples for arch 'x64' ... ERROR Running examples in 'mlr-Ex.R' failed The error most likely occurred in: > ### Name: makeFilterWrapper > ### Title: Fuse learner with a feature filter method. > ### Aliases: makeFilterWrapper > > ### ** Examples > > task = makeClassifTask(data = iris, target = "Species") > lrn = makeLearner("classif.lda") > inner = makeResampleDesc("Holdout") > outer = makeResampleDesc("CV", iters = 2) > lrn = makeFilterWrapper(lrn, fw.perc = 0.5) > mod = train(lrn, task) Error in unlist(mclapply(1:ncol(dat), function(k) { : could not find function "mclapply" Calls: train ... -> -> rm.na.levels -> unlist Timing stopped at: 0.02 0 0.01 Execution halted