Next @FGuilhaumon explains the concept of Research Comppendium in theory and illustrate it in practice. Besides the material we have shared https://t.co/ggJ8tDpLU6, check out this awesome paper https://t.co/49cNZYWHod by @benmarwick @cboettig @lincolnmullen https://t.co/W7wHAffVz2
After spending much of the last day attempting to reproduce some recent work in textual analysis, I would love to see the #dh community more actively embrace research compendia and reproducibility workflows such as this one using R https://t.co/U3e4eAR3Zo
I sort of made up my own system for solo-reproducible analyses (as in, I'm the only one working on this analysis, doing coding, stats, etc) based on recs by @benmarwick et al's "Packaging data analytical work reproducibly using R (and friends)" and on... https://t.co/NxMiCCOrLg
@dgkeyes @EmilyRiederer In our @AmstatNews paper on research compendia, we recommend a non-standard, top-level analysis folder to make the #rstats markdown file easy to find: https://t.co/TfoSJISyAY (@PeerJPreprints: https://t.co/kel620L6wn) https://t.co/YFQfwjwSrw
@dgkeyes Make sure to check out @dataandme 's answers on this community thread, too many good resources to link here!
@JennyBryan Also has a community thread https://t.co/wRK2Wr9o4w
@benmarwick has a nice paper as well:
@beccabryanne We wrote about this in "Packaging Data Analytical Work Reproducibly Using R (and Friends)": https://t.co/TfoSJISyAY (@PeerJPreprints https://t.co/Qd8g91OhjR), with rrtools as the accompanying compendium-making #rstats pkg: https://t.co/JOwkoeT8TR