[Bioc-devel] data extension preference

[Hervé Pagès]

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-bounces using r-project.org> on behalf of Park, Adam Keebum <sein.park using psu.edu>
> Sent: Wednesday, December 21, 2022 11:42 PM
> To: bioc-devel using r-project.org <bioc-devel using 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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-- 
Hervé Pagès

Bioconductor Core Team
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