[BioC] svg error in arrayQualityMetrics

[Straubhaar, Juerg]

I am running the arrayQualityMetrics with:

arrayQualityMetrics(expressionset=esett,outdir="TestAQM",force=TRUE,do.logtransform=FALSE,intgroup="SomeCategory")

and get the following errror:

Error in tmp[i] : invalid subscript type 'list'

The error is generated in a 'brittle' part of the arrayQualityMetrics code on line 31 of the annotateSvgMapPlot.R source file, in the function annotateSvgPlot().
Line 31 of this file is prepended with a comment pointing to the 'brittle' nature of this part of the code and says 

'...getPlotObjNodes' will be 'getMatplotSeries' or 'getPlotPoints' from
    ## 'SVGAnnotation', which rely on conventions used by libcairo ...

I replaced getPlotObjNodes in annotateSvgPlot() with getMatplotSeries() and getPlotPoints() to no avail.

> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
[1] C

attached base packages:
[1] grDevices datasets  parallel  stats     graphics  utils     methods  
[8] base     

other attached packages:
[1] arrayQualityMetrics_3.18.0 AnnotationDbi_1.24.0      
[3] Biobase_2.22.0             BiocGenerics_0.8.0        
[5] RSQLite_0.11.4             DBI_0.2-7                 

loaded via a namespace (and not attached):
 [1] AnnotationForge_1.4.4    BSgenome_1.30.0          BeadDataPackR_1.14.0    
 [4] BiocInstaller_1.12.0     Biostrings_2.30.1        Cairo_1.5-5             
 [7] Category_2.28.0          DESeq2_1.2.10            DO.db_2.7               
[10] DOSE_2.0.0               Formula_1.1-1            GO.db_2.10.1            
[13] GOSemSim_1.20.3          GOstats_2.28.0           GSEABase_1.24.0         
[16] GenomicFeatures_1.14.3   GenomicRanges_1.14.4     Hmisc_3.14-3            
[19] IRanges_1.20.7           KEGG.db_2.10.1           KernSmooth_2.23-10      
[22] MASS_7.3-29              Matrix_1.1-2-2           PFAM.db_2.10.1          
[25] R.methodsS3_1.6.1        R.oo_1.18.0              R.utils_1.29.8          
[28] RBGL_1.38.0              RColorBrewer_1.0-5       RCurl_1.95-4.1          
[31] Rcpp_0.11.0              RcppArmadillo_0.4.100.0  ReportingTools_2.2.0    
[34] Rsamtools_1.14.3         SVGAnnotation_0.93-1     VariantAnnotation_1.8.12
[37] XML_3.98-1.1             XVector_0.2.0            affy_1.40.0             
[40] affyPLM_1.38.0           affyio_1.30.0            annotate_1.40.1         
[43] beadarray_2.12.0         biomaRt_2.18.0           biovizBase_1.10.8       
[46] bitops_1.0-6             cluster_1.14.4           clusterProfiler_1.10.1  
[49] colorspace_1.2-4         dichromat_2.0-0          digest_0.6.4            
[52] edgeR_3.4.2              gcrma_2.34.0             genefilter_1.44.0       
[55] ggbio_1.10.12            ggplot2_0.9.3.1          graph_1.40.1            
[58] grid_3.0.2               gridExtra_0.9.1          gtable_0.1.2            
[61] hwriter_1.3              igraph_0.7.0             labeling_0.2            
[64] lattice_0.20-27          latticeExtra_0.6-26      limma_3.18.13           
[67] locfit_1.5-9.1           munsell_0.4.2            plyr_1.8.1              
[70] preprocessCore_1.24.0    proto_0.3-10             qvalue_1.36.0           
[73] reshape2_1.2.2           rtracklayer_1.22.4       scales_0.2.3            
[76] setRNG_2011.11-2         splines_3.0.2            stats4_3.0.2            
[79] stringr_0.6.2            survival_2.37-7          tcltk_3.0.2             
[82] tools_3.0.2              vsn_3.30.0               xtable_1.7-1            
[85] zlibbioc_1.8.0          

Thank you.

Juerg Straubhaar
University of Massachusetts Medical School