This page contains links to useful sources on statistics, R, and other software packages.

• blogdown: Creating Websites with R Markdown by Xie, Thomas, and Hill (I use blogdown to create this website.)
• CRAN Task View: Statistics for the Social Sciences
• CRAN Task Views
• Cross Validated
• Data Visualization: A Practical Introduction by Healy
• Forecasting: Principles and Practice by Hyndman and Athanasopoulos
• Math Camp Lectures - UW CSSS
• Personality Project
• Quick-R
• R for Data Science by Grolemund and Wickham
• R Markdown: The Definitive Guide by Xie, Allaire, and Grolemund
• R Weekly
• R-statistics.co
• Rseek
• RStudio Community
• Seeing Theory
• Statistical Modeling, Causal Inference, and Social Science (a.k.a., Andrew Gelman’s Blog)
• Statistical Rethinking with brms, ggplot2, and the tidyverse by Solomon Kurz
• Statistics, R, Data, Science by Michael Clark
• STHDA (Statistical Tools for High-throughput Data Analysis)
• The R Graph Gallery
• UCLA IDRE - Annotated Output