For this set of exercises as well as all following ones, we suggest that you write R
scripts (one per set of exercises or a combined one for the whole course) and store them in the my_scripts
folder contained in the course materials. This folder already contains a script stub called my_script.R
which you can use for getting started.
R
packages are out there that may be of interest for you, have a brief (!) look at the CRAN Task View
section called SocialSciences and do a quick search for “regression” on METACRAN.
CRAN
(we will use those later on in the course). Please install the following packages: remotes
, dplyr
, janitor
, correlation
(Note: We will need a few more packages throughout this course, but we do not have to install all of them now).
remotes
package.
CRAN
. Another important source of R
packages is GitHub (especially for development versions). So, let’s install a package from there. Install the emo
package from GitHub. NB: To be able to install packages from GitHub on Windows machines, you will need to install Rtools
first.
remotes
package for this. The required argument for the function for installing a package from GitHub needs to be in the form “user_name/repo_name” (i.e., the parts of the URL that come after github.com).
my_scripts
folder).
R
start with #. Ideally, these should explain what the code you have written does. You can simply save the R
script file via the RStudio GUI.