Hi,
I'm having trouble when using the xy2indices function of affy package. In version 1.40.0 of affy, one parameter for this function was nr (number of rows on the chip). In the version I'm currently using 1.48.0 (but it was already the case in version 1.46.1), this parameter doesn't exist anymore and seems to be replaced by nc (number of columns on the chip).
Moreover when I'm trying to indicate the number of columns in the nc parameters, the indices seem wrong. Hereafter is an example.
> # X positions from 1 to 4 i.e. 5 rows
> x=c(1,2,3,4,5,1,2,3,4,5,1,2,3,4,5)
> # Y positions from 1 to 3 i.e. 3 columns
> y=c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3)
> # What I thought would work
> xy2indices(x-1,y-1,nc=3)
[1] 1 2 3 4 5 4 5 6 7 8 7 8 9 10 11
> # What seems to work
> xy2indices(x-1,y-1,nc=5)
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
It looks like the parameter is now called number of columns but should still contain the number of rows. Am I using it in the wrong way?
For Info
> sessionInfo()
R version 3.2.1 (2015-06-18)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=French_France.1252 LC_CTYPE=French_France.1252 LC_MONETARY=French_France.1252
[4] LC_NUMERIC=C LC_TIME=French_France.1252
attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] psych_1.5.8 car_2.1-0 mixOmics_5.1.2 ggplot2_1.0.1 MASS_7.3-44
[6] RColorBrewer_1.1-2 geneplotter_1.48.0 annotate_1.48.0 XML_3.98-1.3 lattice_0.20-33
[11] ABarray_1.38.0 multtest_2.26.0 affyPLM_1.46.0 preprocessCore_1.32.0 gcrma_2.42.0
[16] affy_1.48.0 limma_3.26.1 org.EcK12.eg.db_3.2.3 RSQLite_1.0.0 DBI_0.3.1
[21] AnnotationDbi_1.32.0 IRanges_2.4.1 S4Vectors_0.8.0 Biobase_2.30.0 BiocGenerics_0.16.0
loaded via a namespace (and not attached):
[1] reshape2_1.4.1 splines_3.2.1 tcltk_3.2.1 colorspace_1.2-6 mgcv_1.8-9
[6] survival_2.38-3 nloptr_1.0.4 affyio_1.40.0 plyr_1.8.3 stringr_1.0.0
[11] zlibbioc_1.16.0 Biostrings_2.38.0 MatrixModels_0.4-1 munsell_0.4.2 gtable_0.1.2
[16] SparseM_1.7 BiocInstaller_1.20.0 quantreg_5.19 pbkrtest_0.4-2 proto_0.3-10
[21] Rcpp_0.12.1 xtable_1.8-0 scales_0.3.0 XVector_0.10.0 lme4_1.1-10
[26] mnormt_1.5-3 ellipse_0.3-8 digest_0.6.8 stringi_1.0-1 grid_3.2.1
[31] tools_3.2.1 magrittr_1.5 rgl_0.95.1367 pheatmap_1.0.7 Matrix_1.2-2
[36] minqa_1.2.4 nnet_7.3-11 igraph_1.0.1 nlme_3.1-122
Thanks in advance for your answers.