Someone reached out with concern about speed of installing an #rstats package with its dependencies, all from source.
I _strongly_ recommend installing R package binaries whenever possible, and it's easy to do so on Mac, Windows or Ubuntu. Some details:
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{nullranges} on Bioc has 97 packages it depends on. Many of these are likely already installed if you've got tidyverse + Bioc core, but even on a clean Mac OS X 13 (so only w/ R + recommended), installing them all takes about a minute with binaries 馃帀
youtube.com/7sHiRShfUmw
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What about Ubuntu? Again, don't install from source if you don't have to. Use the CRAN (+ Bioc) binaries provided by @eddelbuettel's r2u
E.g.:
apt install r-cran-data.table r-bioc-deseq2
eddelbuettel.github.io/r2u/
Not all Bioc pkgs are provided, but many are, especially core ones
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Yes! Plus if you use it (as documented on the #r2u website) with `bspm` (an optional but recommended package) then you can do from #Rstat
install.packages(c("data.table", "DESeq2"))
and get everything FAST with ALL DEPENDENCIES automatically. Just ran it here: ~ 10 seconds.
Dec 3, 2022 路 9:55 PM UTC
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