r101

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

Shows:

• The most minimalistic code!
• How to Start your first ever code: you can do it in .R or in .Rmd!
• Your first simplest graph - Useqplot from ggplot2 library instead of base plot function!
• Your first for loop to automate repetetive tasks - printing graphs for different probability density functions (PDF), in this case.
• Use of pipelines with %>% operator

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

Shows:

• 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

Have questions or ideas? - Don’t hesitate to contact me at dmitry @ gorodnichy.ca !

Check also recommendations on how to start learning R at https://open-canada.github.io/UseR/resources.html