Software requirements

IMPORTANT: You are required to bring your own labtop with R statistical software installed. This is essential for working with the exercise problems.

You will also need the following add-on packages for running the demo-programs and solving the exercise. We recommend that you install them before the course starts (see next fan):

LMMstar, lattice, ggplot2, psych, nlme, lme4, lmerTest, geepack, broom, AICcmodavg, and mice.

In case you have problems with the installation you should get help from the IT Support team at KU or from your home university or employer. The teachers have very limited time and expertise for solving IT problems.

We do not recommend using any other software than R. If you prefer to use SAS, Stata, or SPSS programming you are free to do so, but you must be totally selfsupportive as the teachers may not be able to help you with the programming.

To install the add-on packages:

1. Go to https://www.r-project.org/ Links to an external site. and check that you have the most recent version of R. If you don’t download and install it.
2. Install add-on packages from CRAN. Run the following command one package at a time:
   install.packages(packagename, dependencies=TRUE)

Trouble shooting:

• If you get an error from a specific dependency, try to install this first and then try installing the package again.
• Reply ‘yes’ if it suggested that you reboot during installation.
• Reply ‘no’ if you get the message "There are binary versions available but the  source versions are later: Do you want to install from sources the packages which need compilation?"
• If you still have problems, go back to step 1. Your R-version is likely not up to date.
• If you are unsure that a package has installed correctly, try loading it with library(packagename).