Learning R
R Basics
If you have questions about getting started with R
Bivariate Hypothesis Tests
Explains how to conduct and interpret tabular analysis, difference of means, and correlation coefficients
Limited Dependent Variables
What if your dependent variable is not continuous?
Figures with ggplot2
Creating figures with the ggplot2 library
Loading Data
To help you load data into R and get descriptive statistics
Linear regression
Explains how to conduct and present bivariate and multiple variable linear regression models
Basic Time Series Data
How to deal with time: lags, leads, and differenced dependent variables
Basic Figures
Getting started with R’s base plotting functions
Categorical Predictors and Interactions
How to include a categorical independent variable or an interactive term?
Probability Distributions
How to use, plot, and apply probability distributions in R
Basic Data Management
Merging, Subsetting, and recoding data with R’s base functions
Regression Diagnostics
Demonstrates how to diagnose and fix violations of the Gauss-Markov theorem for OLS models
Advanced Data Management
Using the dplyr and tidyr libraries for data management