Hilfreiche Webinhalte für den Unterricht/zum Selbststudium

Visualizations of Statistical concepts

• https://seeing-theory.brown.edu/index.html#firstPage
  A website, designed by Daniel Kunin et al., which explains basic concepts of probability and statistics by virtual experiments and interactive visualizations.

• 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

• https://nbis-reproducible-research.readthedocs.io/en/latest/
  Course material from SciLifeLab in Uppsala about tools (Git, Conda, Snakemake, Rmarkdown, Jupyter, Docker, Singularity) for reproducible research projects.

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..

• https://github.com/ropensci/plotly
  Plotly creates interactive plots or transforms ggplots into interactive plots.

• https://exts.ggplot2.tidyverse.org/gallery/
  A gallery of >80 ggplot2 extension packages..

Online R material and books

Cheatsheets

• https://www.rstudio.com/resources/cheatsheets/
  A huge collection of R cheat sheets.

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://adv-r.hadley.nz/ “Advanced R” by Hadley Wickham explains R with a programming-orientated perspective.

• 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://www.r-graph-gallery.com/
  A gallery of plotting ideas and the according R code, which is sorted by purpose.

• 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

• https://www.r-bloggers.com/2021/10/multiple-linear-regression-made-simple/
  A very complete tutorial for multiple linear regression in R

Youtube Channels and Videos

Channels

• https://www.youtube.com/channel/UC4LDcBka39NidOF1y_65FFw
  The MoBPS channel.
• https://www.youtube.com/channel/UCXuX-kQ1TbKHWeB75NgmhlA
  “Genomics Boot Camp” by Gábor Mészáros, which gives Masters level solutions for applications in agrigenomics.

• https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
  “3Blue1Brown” by Grant Sanderson makes math and statistics more understandable.

• https://www.youtube.com/c/joshstarmer
  StatQuest with Josh Stamer" easy explainations of statistical concepts

Videos

• https://www.youtube.com/watch?v=lVG04dAAyvY
  Illumina Bead Chips

• https://www.youtube.com/watch?v=fCd6B5HRaZ8&t=18s
  Illumina Sequencing by Synthesis.

• https://www.youtube.com/watch?v=_lD8JyAbwEo
  PacBio Sequencing

• https://www.youtube.com/watch?v=RcP85JHLmnI
  Nanopore Sequencing