R is the go-to statistical language for many psychological scientists (maybe for scientists in general). It is free and accessible to everyone everywhere!!! Beats having to beg for access to SPSS… That said, it is unrealistic for schools to teach this wonderful program to us plebeians given the extreeeeemely steep learning curve.
If you are an absolute chad and decide to learn R by yourself, download base R here and download R Studio so that you have a pretty user interface to work with (unless you are a masochist and want to use the command line).
Here are a couple of R-related resources that I have found to be useful!!!! I’ll admit it has been 😤frustrating😤 learning R but the pain has been worth it:
Introductory R Resources
- Learning Statistics with R is an open source R textbook to get yourself started with using R for data analysis. Put together by the amazing Danielle Navarro.
Must-have R packages
#install packages with this function, replace psych with your package of choice. install.packages("psych")
psych– self-explanatory package name… contains functions useful for psychological research.
easystats– another self-explanatory package name (I love it). A collection of R packages that make ugly difficult R stats… easy.
performanceis my favourite
easystatspackage … testing model diagnostics has never been … easier.
If coding is not your cup of tea, give JASP a shot instead. Much like the legendary SPSS, JASP has a neat GUI that allows you to conduct statistical analyses with a few clicks here and a few clicks there. Importantly, JASP is an open source program (AKA free), so wave goodbye to lonely nights in the school’s computer lab fiddling with SPSS.
Download JASP here. To get yourself acquainted with JASP, you might want to consult Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners by Danielle Navarro and colleagues.