Problems running WGCNA
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S • 0
@0b4d0d5b
Last seen 3 months ago
Norway

Hi,

I am trying to run WGCNA on R studio using R version 4.2.2. I was wondering if somebody can help debug it.

Thanks again.

Code should be placed in three backticks as shown below

library(WGCNA)
Error: package or namespace load failed for ‘WGCNA’ in dyn.load(file, DLLpath = DLLpath, ...):
 unable to load shared object '/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/preprocessCore/libs/preprocessCore.so':
  dlopen(/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/preprocessCore/libs/preprocessCore.so, 0x0006): Library not loaded: '/opt/R/arm64/gfortran/lib/libquadmath.0.dylib'
  Referenced from: '/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/preprocessCore/libs/preprocessCore.so'
  Reason: tried: '/opt/R/arm64/gfortran/lib/libquadmath.0.dylib' (no such file), '/usr/local/lib/libquadmath.0.dylib' (no such file), '/usr/lib/libquadmath.0.dylib' (no such file)
# include your problematic code here with any corresponding output 
# please also include the results of running the following in an R session 

sessionInfo( )
R version 4.2.2 (2022-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Monterey 12.6

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

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

other attached packages:
[1] fastcluster_1.2.3     dynamicTreeCut_1.63-1

loaded via a namespace (and not attached):
 [1] Biobase_2.58.0         httr_1.4.4             bit64_4.0.5           
 [4] splines_4.2.2          foreach_1.5.2          Formula_1.2-4         
 [7] assertthat_0.2.1       stats4_4.2.2           latticeExtra_0.6-30   
[10] blob_1.2.3             GenomeInfoDbData_1.2.9 impute_1.72.1         
[13] pillar_1.8.1           RSQLite_2.2.19         backports_1.4.1       
[16] lattice_0.20-45        glue_1.6.2             digest_0.6.31         
[19] RColorBrewer_1.1-3     XVector_0.38.0         checkmate_2.1.0       
[22] colorspace_2.0-3       htmltools_0.5.4        Matrix_1.5-1          
[25] pkgconfig_2.0.3        zlibbioc_1.44.0        GO.db_3.16.0          
[28] scales_1.2.1           jpeg_0.1-10            tibble_3.1.8          
[31] htmlTable_2.4.1        KEGGREST_1.38.0        generics_0.1.3        
[34] IRanges_2.32.0         ggplot2_3.4.0          cachem_1.0.6          
[37] nnet_7.3-18            BiocGenerics_0.44.0    cli_3.4.1             
[40] survival_3.4-0         magrittr_2.0.3         crayon_1.5.2          
[43] deldir_1.0-6           memoise_2.0.1          fansi_1.0.3           
[46] doParallel_1.0.17      foreign_0.8-83         data.table_1.14.6     
[49] tools_4.2.2            lifecycle_1.0.3        matrixStats_0.63.0    
[52] stringr_1.5.0          interp_1.1-3           S4Vectors_0.36.1      
[55] munsell_0.5.0          cluster_2.1.4          AnnotationDbi_1.60.0  
[58] Biostrings_2.66.0      compiler_4.2.2         GenomeInfoDb_1.34.4   
[61] rlang_1.0.6            grid_4.2.2             RCurl_1.98-1.9        
[64] iterators_1.0.14       rstudioapi_0.14        htmlwidgets_1.6.0 
[67] bitops_1.0-7           base64enc_0.1-3        gtable_0.3.1          
[70] codetools_0.2-18       DBI_1.1.3              R6_2.5.1              
[73] gridExtra_2.3          knitr_1.41             dplyr_1.0.10          
[76] fastmap_1.1.0          bit_4.0.5              utf8_1.2.2            
[79] Hmisc_4.7-2            stringi_1.7.8          parallel_4.2.2        
[82] Rcpp_1.0.9             vctrs_0.5.1            rpart_4.1.19          
[85] png_0.1-8              tidyselect_1.2.0       xfun_0.35
WGCNA • 797 views
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