Skip to content

Latest commit

 

History

History
66 lines (35 loc) · 2.48 KB

README.md

File metadata and controls

66 lines (35 loc) · 2.48 KB
Raw

rrtools-repro-research

Reproducible Research in R with rrtools

31st October, Northwest Universities R Day


Workshop Outline


Level

Intermediate

Prerequisites:

Familiarity with Version Control through RStudio and rmarkdown.

System Requirements:

Pandoc (>= 1.17.2)

LaTeX

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 requirements

You 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.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Work based on:

  • 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. DOI

  • 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