Hello,
The e1071 function naiveBayes gives an error when called by do.call, although
it doesn't give any error if I call it manually.
Browse[1]> trainParams@classifier
function (x, ...)
UseMethod("naiveBayes")
<environment: namespace:e1071>
Browse[1]> trained <- do.call(trainParams@classifier, paramList)
Error in names(dimnames(tables[[i]])) <- c(Yname, colnames(x)[i]) :
'names' attribute [4] must be the same length as the vector [2]
Browse[1]> summary(paramList)
Length Class Mode
925 -none- numeric
37 factor numeric
verbose 1 -none- logical
Browse[1]> class(trainParams@classifier(paramList[[1]], paramList[[2]],
paramList[[3]]))
[1] "naiveBayes"
What is the explanation for this ? I read that the behaviour of do.call is
currently undefined and subject to change.
Browse[1]> sessionInfo()
R version 3.1.0 (2014-04-10)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 splines parallel grid stats graphics grDevices
[8] utils datasets methods base
other attached packages:
[1] robustbase_0.91-1 e1071_1.6-3
[3] car_2.0-20 edgeR_3.6.2
[5] statmod_1.4.19 PoiClaClu_1.0.2
[7] lawstat_2.4.1 VGAM_0.9-4
[9] mvtnorm_0.9-99992 sparsediscrim_0.2
[11] MASS_7.3-33 curatedOvarianData_1.2.0
[13] affy_1.40.0 lumiHumanIDMapping_1.10.0
[15] illuminaHumanv3.db_1.20.0 org.Hs.eg.db_2.10.1
[17] RSQLite_0.11.4 DBI_0.2-7
[19] AnnotationDbi_1.24.0 lumi_2.14.2
[21] Biobase_2.22.0 BiocGenerics_0.8.0
[23] limma_3.18.13 ROCR_1.0-5
[25] gplots_2.13.0 gridExtra_0.9.1
[27] ggplot2_1.0.0
loaded via a namespace (and not attached):
[1] affyio_1.30.0 annotate_1.40.1 AnnotationForge_1.4.4
[4] base64_1.1 bdsmatrix_1.3-1 beanplot_1.1
[7] BiocInstaller_1.14.2 biomaRt_2.18.0 Biostrings_2.30.1
[10] bitops_1.0-6 BSgenome_1.30.0 bumphunter_1.2.0
[13] caTools_1.17 class_7.3-10 codetools_0.2-8
[16] colorspace_1.2-4 corpcor_1.6.6 DEoptimR_1.0-1
[19] digest_0.6.4 doRNG_1.6 foreach_1.4.2
[22] gdata_2.13.3 genefilter_1.44.0 GenomicFeatures_1.14.5
[25] GenomicRanges_1.14.4 gtable_0.1.2 gtools_3.4.0
[28] illuminaio_0.4.0 IRanges_1.20.7 iterators_1.0.7
[31] itertools_0.1-3 KernSmooth_2.23-12 labeling_0.2
[34] lattice_0.20-29 locfit_1.5-9.1 Matrix_1.1-3
[37] matrixStats_0.8.14 mclust_4.3 methylumi_2.8.0
[40] mgcv_1.7-29 minfi_1.8.9 multtest_2.18.0
[43] munsell_0.4.2 nleqslv_2.1.1 nlme_3.1-117
[46] nnet_7.3-8 nor1mix_1.1-4 pkgmaker_0.22
[49] plyr_1.8.1 preprocessCore_1.24.0 proto_0.3-10
[52] RColorBrewer_1.0-5 Rcpp_0.11.1 RCurl_1.95-4.1
[55] registry_0.2 reshape_0.8.5 reshape2_1.4
[58] R.methodsS3_1.6.1 rngtools_1.2.4 Rsamtools_1.14.3
[61] rtracklayer_1.22.7 scales_0.2.4 siggenes_1.36.0
[64] stringr_0.6.2 survival_2.37-7 tcltk_3.1.0
[67] tools_3.1.0 XML_3.98-1.1 xtable_1.7-3
[70] XVector_0.2.0 zlibbioc_1.8.0
--------------------------------------
Dario Strbenac
PhD Student
University of Sydney
Camperdown NSW 2050
Australia
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