# Appendix 2: Online Resources for Getting Started with Statistical Modeling in R

Roughly, in order from most elementary to most advanced

Learning Statistics with R by Danielle Navarro and adapted to Bookdown (for web viewing) by Emily Kothe.

Statististical Thinking for the 21st Century by Russell A. Poldrack

Regression Models for Data Science in R by Brian Caffo

Modern Statistics for Modern Biology

The Art of Data Science by Roger D. Peng and Elizabeth Matsui

Corrigan, June K., et al. “A big-data approach to understanding metabolic rate and response to obesity in laboratory mice.” Elife 9 (2020): e53560.)↩︎

“The Pretty Good House - Finding the right balance between construction cost and energy performance”. https://www.greenbuildingadvisor.com/article/the-pretty-good-house↩︎

Amrhein, V., Trafimow, D. and Greenland, S., 2019. Inferential statistics as descriptive statistics: There is no replication crisis if we don’t expect replication. The American Statistician, 73(sup1), pp.262-270.↩︎

the variance is less than that expected by the probability model↩︎

the variance is greater than that expected by the probability model↩︎