Helpful teaching/ self-learning web contentThis 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
A website, designed by Daniel Kunin et al., which explains basic concepts of probability and statistics by virtual experiments and interactive visualizations.
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.
Course material from SciLifeLab in Uppsala about tools (Git, Conda, Snakemake, Rmarkdown, Jupyter, Docker, Singularity) for reproducible research projects.
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..
Plotly creates interactive plots or transforms ggplots into interactive plots.
A gallery of >80 ggplot2 extension packages..
Online R material and booksCheatsheets
A huge collection of R cheat sheets.
“R for Data Science” by Hadley Wickham and Garret Grolemund. A basic introduction into the use of R for Data Science.
- https://adv-r.hadley.nz/ “Advanced R” by Hadley Wickham explains R with a programming-orientated perspective.
“R Packages” by Hadley Wickham and Jenny Bryan explains everything you need to know when writing your own R package..
A gallery of plotting ideas and the according R code, which is sorted by purpose.
“ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham. A detailed introduction to ggplot2 graphics.
“Fundamentals of Data Visualization” by Claus O. Wilke about properties of good scientific graphics, but without code examples.
“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.
A very complete tutorial for multiple linear regression in R
Youtube Channels and VideosChannels
The MoBPS channel.
“Genomics Boot Camp” by Gábor Mészáros, which gives Masters level solutions for applications in agrigenomics.
“3Blue1Brown” by Grant Sanderson makes math and statistics more understandable.
StatQuest with Josh Stamer" easy explainations of statistical concepts
Illumina Bead Chips
Illumina Sequencing by Synthesis.