References

Cheatsheets

Most of these cheatsheets are from rstudio.com/resources/cheatsheets.

• data-wrangling-cheatsheet.pdf
• devtools-cheatsheet.pdf
• ggplot2-cheatsheet-2.0.pdf
• github-git-cheat-sheet.pdf
• R_Cheat_Data.pdf
• rmarkdown-cheatsheet.pdf
• rmarkdown-reference.pdf
• rstudio-IDE-cheatsheet.pdf
• shiny-cheatsheet.pdf

Literature

• Baumer et al. - 2014 - R Markdown Integrating A Reproducible Analysis To.pdf
• DataONE 2012 Best Practices Primer DataONE_BP_Primer_020212.pdf
• DataONE Data Management Guide for Public Participation PPSR-DataManagementGuide.pdf
• Hampton et al - 2014 - The tao of open science for ecology.pdf
• Teal et al - 2015 - Data Carpentry.pdf
• Wickham - 2010 - A Layered Grammar of Graphics.pdf
• Wilson et al - 2014 - Best Practices for Scientific Computing.pdf

Books

• R for Data Science by Garrett Grolemund and Hadley Wickham
• Advanced R by Hadley Wickham
• Reproducible Research with R and Rstudio by Christopher Gandrud
• Practical Data Science with R by Nina Zumel, John Mount and Jim Porzak

Courses

• Data Carpentry for Biologists by Ethan White
• Data Analysis and Visualization Using R by David Robinson
• Data wrangling, exploration, and analysis with R by Jenny Bryan
• Software Carpentry: R for reproducible scientific analysis by Software Carpentry
• Tools for Reproducible Research by Karl Broman