Guides: learning the basics and data analysis

1. R for Data Science-Hadley Wickham
2. R tips pages-Dolph Schluter
3. MarinStatsLectures-videos by Mike Marin
4. Swirl-Interactive Data analysis in R
5. Moderndive-Chester Ismay, Albert Y. Kim
6. Coursera Learning to Program in R
7. Data Carpentry R Tutorials-various contributors
8. Teach Tidyverse to Beginners-David Robinson
9. Become a Superhero, Handle Your Data with R-Ciera C. Martinez
10. Scripting for data analysis-Martin Johnsson
11. RStats for ag-A.Kniss and J. C. Streibig
12. Cookbook for R-Winston Chang
13. Our coding club-various contributors
14. Environmental computing-various contributors
15. Data Analysis with R-Udacity
16. Exploratory Data Analysis-Dylan Childs
17. USGS Introduction To R - various contributors
18. ggpubr: Publication ready plots - various contributors
19. R Video Podcast series - Andrew Jackson
20. Introduction to building R packages-(empowering coding women by Christina Knudson)

Field-specific guides

Psychometrics

1. Introduction to Exploratory Graph Analysis for psychometricians-Hudson Golino

Ecology (broad)

1. Project Eddie & MacrosystemsEDDIE (modules for teaching simulation modeling and macrosystems ecology to R-novices)
2. Statistics for Soil Scientists-Katey Yoast, Skye Wills, Stephen Roecker and Tom D’Avello
3. Environmental computing- Will Cornwell

Genomics/Bioinformatics

4. Intro to R, calculating genome coverage-Laurie Stevison
5. Practical Introduction to Bioinformatics & Genomics-Ian Dworkin
6. Adegenet (Multivariate Analysis of Genetic Markers) - various contributors

Phylogenetic analyses

1. Phylogenetic tools for comparative biology - Liam Revell
2. Phylogenetic trees in R - Lars Schmitz
3. Comparative methods in R - Luke J Harmon
4. Arbor workflows (R and more)
5. Quantitative evolution-Steve Arnold and Joe Felsenstein (Nimbios tutorials-videos and R exercises)

Data Visualization

1. Fundamentals of data visualization - Claus O. Wilke

Tips

1. Quick-R
2. Tons of links here!
3. RStudio CheatSheets

Course notes

1. MCMCglmm Course Notes - Jarrod Hadfield (Cran-R-project)

Books

1. Statistical Rethinking-Richard McElreath (CRC Press)
2. Statistical Rethinking YouTube course-Richard McElreath
3. Ecological Models and Data in R-Ben Bolker (Princeton University Press)
4. Introduction to WinBugs for Ecologists-Marc Kery (Academic Press, lots of R)
5. R packages-Hadley Wickham