03: Visualizing Data

Visualizing data using the tidyverse.

These are all of the instructions for Lab 3. The list of labs is here.

This repository contains R labs for R package ({psychRstats}) based on Bard College’s Statistics for Psychology (PSY 203, Fall 2020), taught by Assistant Professor of Psychology Justin Dainer-Best.

For each lab, you should expect to download the lab’s files locally to your computer, and run them there. If you’re using https://rstudio.cloud/ instead of running things locally, the same instructions should work today.

Find the full list of labs here.

Below are instructions for Lab 3.

Today’s tutorial

Today’s tutorial builds on the skills you learned in Labs 1 and 2; it uses the packages you installed earlier, including the library(psychRstats).

To run the tutorial:

library(psychRstats)
psychRstats::lab("03-visualizing")

Once you’ve completed the tutorial, return here for the exercise that you will turn in at the end of the lab. (If you’d like to keep the tutorial open, refer to this page on the wiki.)

Make sure you’re in the right working directory

In the first lab, we set the working directory to a specific folder where every lab for this class will live. If you don’t remember, look at the wiki page I’ve created on setting a working directory.

Check that you’re in the directory you expect by running getwd() (the parentheses should have nothing in them).

Exercise

This exercise gives you the opportunity to do the following:

1. Practice filtering and subsetting
2. Practice creating histograms
3. Use ggplot2 to create basic plots including boxplots and scatterplots.

You should have downloaded the exercise and data already; today’s file is called “03-exercise.Rmd”. Either open the file (in R through the Files pane, or by double-clicking on the file in your file browser), or you should be able to open the file from the correct working directory by running the following code:

library(psychRstats)
run_exercise("03-exercise")

Solutions

A version of the document with solutions can be seen here.