I link you here the «R for life sciences» lecture notes I am doing, so they are easily available.

(If you prefeer in Spanish click here / Si prefieres en español pincha aquí)

Tutorials

1. Easy R start  html

2. Operations  html

3. Basic graphics and data  html

4. Quarto and RMarkdown: html

5. Hypothesis testing html

6. GGplots html

7. dplyr and tidyr html

8. Git and Github. There are good tutorials here and here. To integrate a RStudio project into a GitHub or Bitbucket repository, see this tutorial.

You can also get some of the previous tutorials in other formats (pdf, docx or epub) or find the original code here.

Other sources to learn R programming

Some other interesting books to learn R:

• R for Data Science
• Cookbook for R
• Quick R
• R programming wikibook
• RIP R learning ebook

¿Not enough books? For more books (some not free), look at the big book of R. Try from the chapter for life sciences.

Web pages with examples of R code:

• The R graph gallery.  Nice graphs with code.
• Data Analysis and Visualisation in R for Ecologists.

For reproducible code basics:

•  Guide to Reproducible Code in Ecology and Evolution from the British Ecological Society.
• Building reproducible analytical pipelines with R. This is a very advanced book. Too much for beginners.

Blogs about R:

• https://www.r-bloggers.com/

To ask for a specific topic:

• https://stackoverflow.com/  Before asking, look if it has been already solved.
• How do I ask a good question?

Sources for statistics

Webs:

• Free statistics e-books for download

Books:

• Learning statistics with R
• Probability, Statistics, and Data
• Wikibook of statistics
• Modern Statistics with R

If you know of other free sources that should be in these lists, please, feel free to put them in the comments.