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
blogdownto 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