Malte Thodberg comments

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                                            Malte Thodberg

support %in%

Yes, the same applies for the is.element function.

Import of BigWig files with rtracklayer fails under MultiCoreParam

Fails here means an error is raised, and a rather cryptic one relating to the parallel processing. When calling import with the which argument, it will produce a warning if...

Import of BigWig files with rtracklayer fails under MultiCoreParam

Sure, continuing from the example in the first post: ``` > bplapply(bw_plus, import, which=grl[[1]]) Error in result[[njob]] sessionInfo() R version 3.6.2 (2019-12-12) Platform: x86_64-apple-darwin19.2.0 (64-bit) Running under: macOS Catalina 10.15.2...

Import of BigWig files with rtracklayer fails under MultiCoreParam

Ah, the plot thickens then! It seems bplapply fails specifically when run with MultiCoreParam AND the which argument is used with import. Here's another example (reusing files from the original...

Import of BigWig files with rtracklayer fails under MultiCoreParam

And some more testing: Both of these work: ``` x7

Import of BigWig files with rtracklayer fails under MultiCoreParam

Still gives an error message in the terminal:

Import of BigWig files with rtracklayer fails under MultiCoreParam

Aha, Mother Of All Error Messages: ``` > x

Import of BigWig files with rtracklayer fails under MultiCoreParam

Still raises an error: ``` maltethodberg@ip164-91:~/Desktop$ R --vanilla -f test.R R version 3.6.2 (2019-12-12) -- "Dark and Stormy Night" Copyright (C) 2019 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin19.2.0...

Question: Is it possible to rebuild the original input data from an rda object?

Super cool - speed is not an issue for me in this case, so this is a very elegant solution. Is there a similar way to obtain the input data...

Question: Is it possible to rebuild the original input data from an rda object?

Resurrecting this, since I have a very similar problem with CCA! based on @jarioksa's excellent response above, this is what I ended up using: ``` object