Reading comma-separated value (csv) files in R | Learn R

Making Awesome Scatterplots with ggplot2 | Learn R

R packages contain ALL the functionality in R | Learn R

The Most Important Data Structure in R | Learn R

The Basics on Factors in R | Learn R

Data Types and Data Dimensions in R | Learn R

Getting Started with R | Learn R

Monte Hall Problem Explained

Most Dangerous Setting in R | Learn R

Install R and R Studio | Learn R

Analysis of a Two-Factor Experiment to Find an Optimal Response in R

Analyses of Two-Factor Unbalanced and Incomplete Designs in R

Analysis of a Two-Factor Completely Randomized Design in R

Randomized Complete Block Design (RCBD)

Completely Randomized Design (CRD)

Demonstrating Contrasts using a Potato Scab Example

Statistical Contrasts for Addressing Specific Scientific Hypotheses

Regression: F-tests

One-way Analysis of Variance (ANOVA)

Interpreting Regression p-values as Posterior Probabilities

Regression Interactions for Vastly More Complex Modeling

Multiple Regression: Higher Order Terms and Additional Explanatory Variables

Regression with Categorical Explanatory Variables

Simple Linear Regression with a Binary Explanatory Variable

Simple Linear Regression: an Example using Logarithms

Simple Linear Regression using Logarithms

Regression diagnostics in (base) R

Regression: Uncertainty and Prediction intervals

Regression: Choosing Explanatory Variables

Simple Linear Regression