Agree with Lori. If you have tabulated data, csv is better than rda
because it's plain text and can easily be imported by many software, not
just R. People can also use an editor or command line tool like grep or
head to inspect the file. OTOH rda/rds files are R specific so can only
be used within the R ecosystem. Furthermore these are binary formats so
not as practical as plain text. If size is an issue, you can always
compress the csv file (-> csv.gz).
H.
On 03/01/2023 08:24, Kern, Lori wrote:
Personally: I think it depends on the use case and the type of data being
provided as well as the size. Raw data is probably more adaptable for various
usage even extending beyond expected use however it can be large; processed
data can be saved compressed and greatly reduce package/data size. Again it
will largely depend on what you are doing with the data provided.
Lori Shepherd - Kern
Bioconductor Core Team
Roswell Park Comprehensive Cancer Center
Department of Biostatistics & Bioinformatics
Elm & Carlton Streets
Buffalo, New York 14263
________________________________
From: Bioc-devel <bioc-devel-boun...@r-project.org> on behalf of Park, Adam Keebum
<sein.p...@psu.edu>
Sent: Wednesday, December 21, 2022 11:42 PM
To: bioc-devel@r-project.org <bioc-devel@r-project.org>
Subject: [Bioc-devel] data extension preference
Dear whom it may concern,
I want to check if reviewers have a preference in data formats for data
included in a package.
Is rda strongly recommended over csv?
Sincerely,
Adam.
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