Tutorial on Reproducible Research in R with rrtools
rrtools
Intermediate
Familiarity with Version Control through RStudio and rmarkdown.
If you don’t have LaTeX installed, consider installing TinyTeX
, a custom LaTeX distribution based on TeX Live that is small in size but functions well in most cases, especially for R users.
install.packages('tinytex')
tinytex::install_tinytex()
Check docs before before installing.
devtools
requirementsYou might also need a set of development tools to install and run devtools
. On Windows, download and install Rtools, and devtools
takes care of the rest. On Mac, install the Xcode command line tools. On Linux, install the R development package, usually called r-devel
or r-base-dev
.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research compendium cboettig/noise-phenomena: Supplement to: “From noise to knowledge: how randomness generates novel phenomena and reveals information” by Carl Boettiger licensed under CC BY 4.0.
Marwick, B., Boettiger, C. & L. Mullen (2017). Packaging data analytical
work reproducibly using R (and friends). PeerJ Preprints 5:e3192v1
https://doi.org/10.7287/peerj.preprints.3192v1