Packaging data analytical work reproducibly using R (and friends)

@neuromusic We have a new paper that surveys some current practices of #rstats users on GitHub and how they organise research projects: https://t.co/TfoSJISyAY pre-print: https://t.co/C029piyzXm
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
103 days ago
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
103 days ago
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
103 days ago
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
103 days ago
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
RT @benmarwick: Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was o…
Our article (with @cboettig & @lincolnmullen) 'Packaging data analytical work reproducibly using #rstats (& friends)' was one of the top 5 most viewed #Anthropology #ComputationalBiology & #ComputationalScience articles published in @thePeerJ in 2017! https://t.co/gMclq5a07D https://t.co/qOFmFKQTM0
RT @benmarwick: @surlyurbanist It's not easy, but for #rstats users it's getting less difficult every year, thanks to pkgs like @xieyihui's…
@surlyurbanist It's not easy, but for #rstats users it's getting less difficult every year, thanks to pkgs like @xieyihui's knitr and bookdown, and our rrtools (https://t.co/JOwkoeT8TR). We summarise several real-world examples of reproducible academic output in https://t.co/C029piyzXm
@petermacp @ma_salmon @rOpenSci It's a good way to work. We surveyed some of current practices in our recent article "Packaging data analytical work reproducibly using R (and friends)" https://t.co/Qd8g91OhjR with @cboettig & @lincolnmullen, published in 'The American Statistician'
RT @RosanaFerrero: Packaging data analytical work reproducibly using R (and friends) https://t.co/YahbPQ4UR2 #dataanalytics #datascience #b…
183 days ago
RT @RosanaFerrero: Packaging data analytical work reproducibly using R (and friends) https://t.co/YahbPQ4UR2 #dataanalytics #datascience #b…
183 days ago
RT @RosanaFerrero: Packaging data analytical work reproducibly using R (and friends) https://t.co/YahbPQ4UR2 #dataanalytics #datascience #b…
Packaging data analytical work reproducibly using R (and friends) https://t.co/YahbPQ4UR2 #dataanalytics #datascience #bigdata #AI #rstats
Packaging data analytical work reproducibly using R (and friends) https://t.co/27HErl2gfQ
RT @benmarwick: @ZKamvar @JennyBryan @cboettig @TiffanyTimbers And we also briefly justify the use of docker in research compendia in our @…
RT @benmarwick: @siminaboca You might find some relevant examples discussed in this paper: https://t.co/Qd8g91OhjR
@siminaboca You might find some relevant examples discussed in this paper: https://t.co/Qd8g91OhjR
@ZKamvar @JennyBryan @cboettig @TiffanyTimbers And we also briefly justify the use of docker in research compendia in our @thePeerJ preprint: https://t.co/Qd8g91OhjR with @lincolnmullen https://t.co/WkrHsIWoFT
224 days ago
OK theres a bunch I'm not gonna recap, more goodness re: reproducibility (https://t.co/QCpa4OaEJb), data sharing (https://t.co/K8qX5SpA3u) +