Last updated: 2019-05-03

Checks: 6 0

Knit directory: rrtools-repro-research/

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File Version Author Date Message
html 6fa5089 Anna Krystalli 2019-03-15 update navbar
html c3a8879 annakrystalli 2018-11-10 Build site.
Rmd a6720f8 annakrystalli 2018-11-10 add devtools and licensing details
html c1a4359 annakrystalli 2018-11-10 Build site.
html b3641c1 annakrystalli 2018-10-31 Build site.
Rmd 4d9cddb annakrystalli 2018-10-31 edit description
Rmd 8615159 annakrystalli 2018-10-30 commit straglers
html 8615159 annakrystalli 2018-10-30 commit straglers
html 921a7f8 annakrystalli 2018-10-30 commit docs
Rmd 99529cf annakrystalli 2018-10-15 update readme with NW R day details, add workshop index
Rmd 572d00b annakrystalli 2018-10-15 Start workflowr project.

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.

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


R version 3.6.0 (2019-04-26)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Mojave 10.14.3

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] workflowr_1.3.0 Rcpp_1.0.1      digest_0.6.18   rprojroot_1.3-2
 [5] backports_1.1.4 git2r_0.25.2    magrittr_1.5    evaluate_0.13  
 [9] stringi_1.4.3   fs_1.2.7        whisker_0.3-2   rmarkdown_1.12 
[13] tools_3.6.0     stringr_1.4.0   glue_1.3.1      xfun_0.6       
[17] yaml_2.2.0      compiler_3.6.0  htmltools_0.3.6 knitr_1.22