Learning R

Description

In this course, you’ll learn:

• Installing R and RStudio
• Navigating the RStudio environment
• Importing data from a spreadsheet
• Working with the tidyverse
• Piping commands with %>%
• Visualizing data with R base graphics and ggplot2
• Visualizing hierarchical clusters
• Selecting cases and subgroups
• Recoding variables
• Calculating frequencies
• Calculating descriptives
• Calculating correlations
• Computing a linear regression

Syllabus:

• Introduction
• R for data science
• Using the exercise files
• 1. What Is R?
• R in context
   

2. Getting Started

• Installing R
• Environments for R
• Installing RStudio
• Navigating the RStudio environment
• Entering data
• Data types and structures
• Comments and headers
• Packages for R
• The tidyverse
• Piping commands with %>%
• Sample datasets
• Importing data from a spreadsheet
   

3. Data Visualization

• Using colors in R
• Creating bar charts
• Creating histograms
• Creating box plots
• Creating scatterplots
• Creating line charts
• Creating cluster charts
   

4. Data Wrangling

• Selecting cases and subgroups
• Recoding variables
• Computing new variables

5. Data Analysis

• Computing frequencies
• Computing descriptives
• Computing correlations
• Computing a linear regression
• Computing contingency tables