Textbooks and Other Resources
This is not (yet…maybe one day who knows) a complete statistics textbook for statistics or R. It is a series of weekly exercises that could be used as labs in statistics courses for psychology students. They are aimed at initiating novice students into learning a programming environment for statistics like R, but also at using R as a teaching tool to aid conceptual understanding of statistics.
0.27 Statistics textbooks we are using
Students taking this course at Brooklyn College are also taking a separate series of bi-weekly lectures, so they arrive in lab after having discussions and digested some readings. At the beginning of each lab I refer to the readings that have been assigned to students, which come from three different textbooks:
- Vokey & Allen^{8}, pdf available online
- Abdi, Edelman, Dowling, & Valentin^{9}, portions may be downloadable from google scholar, otherwise try to find a printed copy somewhere.
- Crump, Navarro, & Suzuki^{10}, https://crumplab.github.io/statistics/, and some the lab manual for R https://crumplab.github.io/statisticsLab/
0.28 Other online textbooks
There are increasing numbers of excellent, free, and online resources for learning statistics and R, here are some:
- Danielle Navarro’s Learning Statistics with R and website for learning R R for Psychological Science
- Russell Poldracks’s Statistical Thinking for the 21st Century
- Martin Speekenbrink’s Statistics: data analysis and modelling, and companion R book An R companion to Statistics: data analysis and modelling
- Into python instead? Check out Todd Gureckis’ Lab in Cognition and Perception
- Looking for stats videos, check out Erin Buchanan’s STATISTICS OF DOOM! on youtube: https://www.youtube.com/channel/UCMdihazndR0f9XBoSXWqnYg
0.29 A longeR list
- Hadley Wickham has written several fantastic and free booksv that I keep coming back to all the time, R for Data Science, ggplot 2: elegant graphics for data analyis, Advanced R, and R packages.
- R markdown and knitr are core libraries for using R to create all sorts of reproducible documents from pdfs to websites. Here are some excellent resources:
- Github got you down? Jenny Bryan has a pick me up for you https://happygitwithr.com
- Googling R questions can often turn up an example of someone solving your issue or a closely related one. For example, you can copy error messages and google them, or ask “how to do X in R”.
- Stackoverflow is great, Google will often take you there because someone has already asked your question, and someone else has answered, usually many people have answered your question many ways.
- Danielle Navarro recently made this website for introducing R, it’s great, check it out (also made using this R markdown process): http://compcogscisydney.org/psyr/
- Check out my slightly older programming book that also introduces R https://crumplab.github.io/programmingforpsych/, actually don’t do that, it’s too old now and not worth it.
- Another solid and accessible resource for psyc stats using R https://ademos.people.uic.edu/index.html.
- https://cran.r-project.org/doc/contrib/Short-refcard.pdf This link takes you to a reference card, that shows a big long list of intrinsic r functions.
- A really great and really long list of resources for R! https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/
- There’s a bunch of R markdown tricks right here https://holtzy.github.io/Pimp-my-rmd/.