mgcv not loading on an update
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Entering edit mode
Modoc Kesner ▴ 10
@modoc-kesner-5599
Last seen 8 months ago
United States

Enter the body of text here I was running Deseq2 fine on my M1 MacBook Pro. Then I did an update and Deseq2 plotPCA stopped working. The update apparently failed on mgcv. I seems this package does not compile for M1 arm processor and thus can not be used.

Here mgcv started to install!

installing the source package ‘mgcv’

trying URL 'https://cran.rstudio.com/src/contrib/mgcv_1.8-40.tar.gz'

Content type 'application/x-gzip' length 1175920 bytes (1.1 MB)

downloaded 1.1 MB

  • installing source package ‘mgcv’ ... package ‘mgcv’ successfully unpacked and MD5 sums checked using staged installation ** libs

I get these errors ld: warning: directory not found for option '-L/usr/local/gfortran/lib/gcc/x86_64-apple-darwin18/8.2.0' ld: warning: ignoring file /usr/local/gfortran/lib/libgfortran.dylib, building for macOS-x86_64 but attempting to link with file built for macOS-arm64 ld: warning: ignoring file /usr/local/gfortran/lib/libquadmath.dylib, building for macOS-x86_64 but attempting to link with file built for macOS-arm64

installing to /Library/Frameworks/R.framework/Versions/4.1/Resources/library/00LOCK-mgcv/00new/mgcv/libs

You can see it is trying to load Darwin libraries which do not exist.

Code should be placed in three backticks as shown below


# include your problematic code here with any corresponding output 
# please also include the results of running the following in an R session 

sessionInfo( )

> sessionInfo( )
R version 4.1.2 (2021-11-01)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Monterey 12.3

Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/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] stats4    stats     graphics  grDevices utils     methods   base     

other attached packages:
 [1] DESeq2_1.34.0               SummarizedExperiment_1.24.0 Biobase_2.54.0             
 [4] MatrixGenerics_1.6.0        matrixStats_0.61.0          GenomicRanges_1.46.1       
 [7] GenomeInfoDb_1.30.1         IRanges_2.28.0              S4Vectors_0.32.4           
[10] BiocGenerics_0.40.0         BiocManager_1.30.16        

loaded via a namespace (and not attached):
 [1] locfit_1.5-9.5         Rcpp_1.0.8.3           lattice_0.20-45        png_0.1-7             
 [5] Biostrings_2.62.0      assertthat_0.2.1       utf8_1.2.2             R6_2.5.1              
 [9] RSQLite_2.2.11         httr_1.4.2             ggplot2_3.3.5          pillar_1.7.0          
[13] zlibbioc_1.40.0        rlang_1.0.2            rstudioapi_0.13        annotate_1.72.0       
[17] blob_1.2.2             Matrix_1.4-1           splines_4.1.2          BiocParallel_1.28.3   
[21] geneplotter_1.72.0     RCurl_1.98-1.6         bit_4.0.4              munsell_0.5.0         
[25] DelayedArray_0.20.0    compiler_4.1.2         pkgconfig_2.0.3        tidyselect_1.1.2      
[29] KEGGREST_1.34.0        tibble_3.1.6           GenomeInfoDbData_1.2.7 XML_3.99-0.9          
[33] fansi_1.0.3            crayon_1.5.1           dplyr_1.0.8            bitops_1.0-7          
[37] grid_4.1.2             xtable_1.8-4           gtable_0.3.0           lifecycle_1.0.1       
[41] DBI_1.1.2              magrittr_2.0.3         datasets_4.1.2         scales_1.1.1          
[45] cli_3.2.0              cachem_1.0.6           XVector_0.34.0         genefilter_1.76.0     
[49] ellipsis_0.3.2         vctrs_0.4.0            generics_0.1.2         RColorBrewer_1.1-2    
[53] tools_4.1.2            bit64_4.0.5            glue_1.6.2             purrr_0.3.4           
[57] parallel_4.1.2         fastmap_1.1.0          survival_3.3-1         AnnotationDbi_1.56.2  
[61] colorspace_2.0-3       memoise_2.0.1        

Suggestions ?
m1_arm deseq2 • 784 views
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1
Entering edit mode
@mikelove
Last seen 15 hours ago
United States

There are a number of posts about Bioconductor on M1, and the gist is that, if you are having compilation issues with any packages, just use the Intel version of R which works fine on M1 (this is what I am using).

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