Introductory Statistics with R: Setup

To prepare to follow along, you will need to have the datasets downloaded and a programming language (e.g., R) installed.

Datasets {-}

You can find all the datasets needed from the workshop from the book’s GitHub Page.

1. You can click on the “Code” dropdown and select “Download Zip” to download the data and files for the lesson materials.

   

2. Go to your Downloads folder to locate the ds4biomed-learner folder.
3. Move this folder onto your Desktop and unzip it if it is still zipped.

Programming language {-}

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

R {-}

We will be using R and RStudio for the workshop. If you would like a video installation tutorial, please see the R section of The Carpentries workshop template.

The links to install R can be found here: https://cloud.r-project.org/. Navigate to the correct operating system.

For mac users, download the .pkg file under the “Latest release” section

For Windows users, please install both the base version as well as Rtools.

RStudio {-}

After you have installed R, you can install RStudio. We will use RStudio as the integrated development environment (IDE) to write and work with R code. Rstudio can be downloaded from the following location: https://rstudio.com/products/rstudio/download/

Installing R packages {-}

Start RStudio by double-clicking the icon. Within RStudio, there will be a “Packages” tab in the bottom right panel. Click on the “Install” button.

In the pop-up window type in “tidyverse” and click “install”.

The Console section of RStudio will begin installing the “tidyverse” package we will be using.

Testing your installation {-}

When the installation is finished, you can check if the package was installed properly and will load by scrolling down the “Packages” tab and clicking the checkbox next to “tidyverse”.