install.packages(c("tidyverse", "babynames", "broom", "coefplot", "cowplot", "devtools", "drat", "fueleconomy", "fivethirtyeight", "formatR", "gapminder", "GGally", "ggforce", "ggraph", "ggrepel", "ggridges", "graphlayouts", "gridExtra", "here", "hexbin", "interplot", "janitor", "margins", "mgcv", "maps", "mapproj", "nycflights13", "RColorBrewer", "rmarkdown", "sf", "skimr", "usethis", "viridis", "viridisLite"))
Installing R and RStudio
We’ll be using R and RStudio locally (installed on your computer). RStudio has a cloud-based version, but it now costs money, so I’m recommending that we all work on our own computers. If you don’t have a computer where you can install software (e.g., a Chromebook) please let me know and I’ll help you figure out another option.
There are several steps to this process, so I made a YouTube video to walk students through it. The video was for my STAT 320 class, but it should be almost exactly the same for this course.
- Download and install R
- Download and install RStudio Desktop
Install whatever packages you need to do your work. I’ve made a big list of potential packages, which you may or may not need all of. To install them, run this entire piece of code:
I’m happy to help troubleshoot if you run into any issues!