Rstudio is an open source software package used for statistical analysis. It seems to fit between Excel/Google Sheets on the lower end of analysis tools and MatLab on the higher end of analysis tools. There is a free version, which makes it very popular in science labs around the world where funding is not sufficient enough to afford MatLab for everyone. Apparently RStudio is also used by employees at some of the worlds biggest companies for data analysis too. There is also a paid version of RStudio. Have no clue how it might compare to MatLab.

As I understand it, Rstudio is the follow up (or overlay) to R. The scripting language used in Rstudio is refereed to as R. It looks like a cross between Javascript and basic. It takes more from javascript for sure. Identical in some areas. Under the hood, it's Javascript. You can check that by entering a built in function name in the console without the () and it will return the code for the function instead of firing the function.

You must have R on your computer to run RStudio. We found this out by loading Rstudio first and trying to run. It said we were missing R.

This website details the short path I took to learning Rstudio. The ultimate goal was to graph data, but as you will see, we didn't necessarily go after that goal head on. Actually, we did, but when we got stuck on step 2, we backtracked and started building this site for our own reference.

We made sure to familiarize ourselves with the software (RStudio) and the underlying programming language (R) in a broader way first.

Hopefully this will short cut your learning curve to RStudio and R programming, and give you an example of how you might want to approach any new software environment. With this, you can do in an hour or a few what took us longer, with an e-z reference to refer back to that we didn't have when we started this.