Helpful teaching/ self-learning web content

This page contains a collection of online teaching material, which can also be used for self-studies. Note that the web pages are only suggestions and we do not take any responsibility for the content.


Visualizations of Statistical concepts

  • https://enchufa2.shinyapps.io/ls-springs/
    A shiny web app, which visualizes the least-squares solution for linear regression and prime component analysis by considering the errors as springs attached to data points and regression line.


Online Courses



R packages

  • https://easystats.github.io/easystats/
    A collection of R packages, which eases the evaluation, visualization, and reporting of statistical results. The collection contains the packages report, correlation, modelbased, bayestestR, parameters, performance, effectsize, insight, and see..


Online R material and books

Cheatsheets

General R

  • https://r4ds.had.co.nz/
    “R for Data Science” by Hadley Wickham and Garret Grolemund. A basic introduction into the use of R for Data Science.
  • https://r-pkgs.org/
    “R Packages” by Hadley Wickham and Jenny Bryan explains everything you need to know when writing your own R package..

Graphics

  • https://ggplot2-book.org/
    “ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham. A detailed introduction to ggplot2 graphics.
  • https://clauswilke.com/dataviz//
    “Fundamentals of Data Visualization” by Claus O. Wilke about properties of good scientific graphics, but without code examples.
  • https://socviz.co/index.html
    “Data Visualization - A practical introduction” by Kieran Healy. A practical hands-on introduction into data visualization with R and ggplot2, containing lots of code examples.

Tutorials



Youtube Channels and Videos

Channels

Videos