Better practices for statistical computing in r (v2)

25 Sep 2019

Download a zip file of this repo or clone to your computer:

mkdir trainr2
cd trainr2
git clone https://github.com/raredd/trainr2.git

This repo includes an r package. For information on building r packages, see Hadley's intro.

To get started, you should download and install rstudio and also a few r packages.

install.packages(c("devtools", "roxygen2", "testthat", "knitr", "htmlTable", "Gmisc"))

(If you are not using rstudio, you will need to install either Rtools for windows machines, xcode + command line tools for macintosh (you will also need to sign up for a [free] apple id), or install the development tools package, r-base-dev, for linux distros.)

After installing rstudio and the four packages, run the following in r to see if you are ready to build packages (this function should return TRUE):

(devtools::has_devel())

Finally, open trainr2.Rproj to get started.