Editing Statistics and Statistical Programming (Fall 2020)/pset0

<small>[[Statistics_and_Statistical_Programming_(Fall_2020)#Week_1_.289.2F17.29|← Back to Week 1]]</small>
== Programming Challenges ==

Because this is our first week, the programming challenges are setup tasks you can do to prepare you to complete future programming challenges.

:'''PC1.''' Download and install R — You can do that from [https://cran.rstudio.com/ this webpage] where you will have to choose based on your operating system.
:'''PC2.''' Download and install RStudio — Download from the [https://www.rstudio.com/products/rstudio/download/ the RStudio download page] choosing an option appropriate for your operating systems (e.g., Windows, Mac OSX, or GNU/Linux).
:'''PC3.''' (a) Create and save a new RStudio "Project" ('.Rproj'). Then, within your new project, (b) create and save a new RMarkdown file ('.Rmd'). Finally, (c) write a combination of text notes and R code in your RMarkdown file and "knit" the output into HTML and PDF. I recommend reproducing and extending some of the examples from the [https://communitydata.science/~ads/teaching/2020/stats/r_tutorials/w01-R_tutorial.html R tutorial] such as the following:
* Complete an arithmetic problem
* Assign multiple values to a variable.
* Perform an operation on your variable (e.g., create a variable called <code>x</code> that contains a set of numerical values and multiply it by some other number.
* Create variables of different classes and get R to tell you the class of each variable using the <code>class()</code> function.
* Perform a logical comparison on the values of a variable (e.g., can you print the values of the <rivers> dataset that are less than 500?)
* Install and load a library. Try the <code>openintro</code> package that accompanies our textbook.
:'''PC4.''' Upload your .Rmd file and knitted .pdf file to [https://canvas.northwestern.edu/courses/122522/assignments/ the appropriate assignment on Canvas].