Tutorials from a computer scientist to help non computer science students to master the R programming language
The list of tutorials developed so far: Output - Source
- The codes are here: https://github.com/gorodnichy/r101
- The outputs produced using those codes are here (TBA): https://gorodnichy.github.io/r101/
Learning Statistics using R (or … Learning R using Statistics).
Part 1: Visualizing various probability density functions
stat101a.html — stat101a.Rmd & stat101a.R
- The most minimalistic code!
- How to Start your first ever code: you can do it in .R or in .Rmd!
- Your first simplest graph - Use
ggplot2 library instead of base
- Your first
for loop to automate repetetive tasks - printing graphs for different probability density functions (PDF), in this case.
- Use of pipelines with
Physics Labs in R - Learning Physics using R (or … Learning R using Physics).
Part 1: Computing a system’s characteristic from a set of observations
physics_with_R-01.html (also at https://rpubs.com/ivim/r101-w-physics01), physics_with_R-01.pdf — physics_with_R-01.Rmd
- Pedagogical vs. historical approach to teaching R
- Key R concepts
- Your first Good coding practices rules
- Three (3) most needed libraries: data.table, ggplot and “%>%”
- Simply Rmarkdown tricks: Interactive Menus, Tabs Code Window popups
Check also recommendations on how to start learning R at https://open-canada.github.io/UseR/resources.html