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Tutorial on Reproducible Research in R with rrtools
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
.
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.
-
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