Too many stacks to draw of plotMB?

[xflicsu]

Hello, I caught error as follows: ####################### Error in .local(GdObject, ...) : Too many stacks to draw. Either increase the device size or limit the drawing to a smaller region. Calls: plotMB ... drawGD -> .local -> callNextMethod -> .nextMethod -> .local Execution halted #######################

How to fix this bug?

[dmontielg]

Is this solved? I encountered the same issue.

[dennishazelett]

This is not a bug. MotifbreakR can't render the plot if there are too many results.

[dmontielg]

Sorry, I am just trying to reproduce the tutorial in step 3 https://www.bioconductor.org/packages/release/bioc/vignettes/motifbreakR/inst/doc/motifbreakR-vignette.html But instead of getting the plot that is where I get the error message from the first comment. I wonder what it could be? Thanks Diego

[dennishazelett]

can you provide some info, what platform and version of R/Bioconductor etc

[kdc15]

Hi, I am having this exact problem. I'm using an Rstudio server (version 3.6.0) and Bioconductor version 3.9

[kvshams]

Getting similar error. Tried increasing the plot size and still have the same error

Error in .local(GdObject, ...): Too many stacks to draw. Either increase the device size or limit the drawing to a smaller region.

sessionInfo()

R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.1 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
 [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
 [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
[10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   

attached base packages:
 [1] stats4    parallel  grid      stats     graphics  grDevices utils    
 [8] datasets  methods   base     

other attached packages:
 [1] BSgenome.Hsapiens.UCSC.hg19_1.4.3      
 [2] SNPlocs.Hsapiens.dbSNP142.GRCh37_0.99.5
 [3] BSgenome_1.58.0                        
 [4] rtracklayer_1.50.0                     
 [5] motifbreakR_2.4.0                      
 [6] MotifDb_1.32.0                         
 [7] Biostrings_2.58.0                      
 [8] XVector_0.30.0                         
 [9] GenomicRanges_1.42.0                   
[10] GenomeInfoDb_1.26.2                    
[11] IRanges_2.24.1                         
[12] S4Vectors_0.28.1                       
[13] BiocGenerics_0.36.0                    

loaded via a namespace (and not attached):
  [1] colorspace_2.0-0            grImport2_0.2-0            
  [3] ellipsis_0.3.1              biovizBase_1.38.0          
  [5] IRdisplay_0.7.0             htmlTable_2.1.0            
  [7] base64enc_0.1-3             dichromat_2.0-0            
  [9] rstudioapi_0.13             bit64_4.0.5                
 [11] AnnotationDbi_1.52.0        xml2_1.3.2                 
 [13] splines_4.0.3               motifStack_1.34.0          
 [15] knitr_1.30                  IRkernel_1.1.1.9000        
 [17] ade4_1.7-16                 Formula_1.2-4              
 [19] jsonlite_1.7.2              splitstackshape_1.4.8      
 [21] Rsamtools_2.6.0             cluster_2.1.0              
 [23] dbplyr_2.0.0                png_0.1-7                  
 [25] compiler_4.0.3              httr_1.4.2                 
 [27] backports_1.2.1             assertthat_0.2.1           
 [29] Matrix_1.3-2                lazyeval_0.2.2             
 [31] htmltools_0.5.1             prettyunits_1.1.1          
 [33] tools_4.0.3                 gtable_0.3.0               
 [35] glue_1.4.2                  TFMPvalue_0.0.8            
 [37] GenomeInfoDbData_1.2.4      dplyr_1.0.2                
 [39] rappdirs_0.3.1              Rcpp_1.0.5                 
 [41] Biobase_2.50.0              vctrs_0.3.6                
 [43] xfun_0.20                   stringr_1.4.0              
 [45] lifecycle_0.2.0             ensembldb_2.14.0           
 [47] XML_3.99-0.5                zlibbioc_1.36.0            
 [49] MASS_7.3-53                 scales_1.1.1               
 [51] VariantAnnotation_1.36.0    hms_1.0.0                  
 [53] MatrixGenerics_1.2.0        ProtGenerics_1.22.0        
 [55] SummarizedExperiment_1.20.0 AnnotationFilter_1.14.0    
 [57] RColorBrewer_1.1-2          curl_4.3                   
 [59] memoise_1.1.0               gridExtra_2.3              
 [61] ggplot2_3.3.3               biomaRt_2.46.0             
 [63] rpart_4.1-15                latticeExtra_0.6-29        
 [65] stringi_1.5.3               RSQLite_2.2.2              
 [67] checkmate_2.0.0             GenomicFeatures_1.42.1     
 [69] BiocParallel_1.24.1         repr_1.1.0                 
 [71] rlang_0.4.10                pkgconfig_2.0.3            
 [73] matrixStats_0.57.0          bitops_1.0-6               
 [75] evaluate_0.14               lattice_0.20-41            
 [77] purrr_0.3.4                 GenomicAlignments_1.26.0   
 [79] htmlwidgets_1.5.3           bit_4.0.4                  
 [81] tidyselect_1.1.0            magrittr_2.0.1             
 [83] R6_2.5.0                    generics_0.1.0             
 [85] Hmisc_4.4-2                 pbdZMQ_0.3-4               
 [87] DelayedArray_0.16.0         DBI_1.1.0                  
 [89] pillar_1.4.7                foreign_0.8-81             
 [91] survival_3.2-7              RCurl_1.98-1.2             
 [93] nnet_7.3-14                 tibble_3.0.4               
 [95] crayon_1.3.4                uuid_0.1-4                 
 [97] BiocFileCache_1.14.0        jpeg_0.1-8.1               
 [99] progress_1.2.2              data.table_1.13.6          
[101] blob_1.2.1                  digest_0.6.27              
[103] openssl_1.4.3               munsell_0.5.0              
[105] Gviz_1.34.0                 askpass_1.1