This month’s R Open Data Lab is is the first of an 8 month series of Open Data Labs dedicated to helping people learn more about the capabilities of R and advance their personal R goals.
Each of these labs will start with a very short (~15 minute) review of available R programming environments for those who are entirely new to R.
The next part of the session will be a brief sightseeing tour of a particular R package + technique, for those who are looking for a better understanding of what R can do (~ 0.5 hrs).
The rest of the lab (~1.5 hrs) will be devoted to moving people forward with their specific R goals, through guided self learning. For this last part, a laptop with R installed is a must. We have two extra laptops that we can lend out during the lab if you are having a hard time getting access to your own laptop with R installed.
To help you focus in on your goals, you can start by filling out this R goals sheet.
In addition, for the sight-seeing part of the lab this week, we’ll be taking a look at the R randomForest package, which is used to create random forest models.