Material that I produced for the editorial collection 'Stat-o-Sphere', published via the 'Students Network for Open Science' as a project of members of editors of section IV data and statistics.
The R Basic article consists of a thorough R tutorial (over 120 functions, 3400 lines of code), incl. an introduction into various trivial and non-trivial cases of data cleaning and formating, several "hand written" example functions, a shiny app example and a complex Rmarkdown example for reoccuring survey analyses and pdf export. The tutorials are written in a way that they can be mastered by people without any programming or mathematics background, without being superficial on any of the topics, on the contrary. The goal is to save as lot of time as possible by understanding the basics as thorough as needed. The section on functions also entails functions for people interested in mathematics, such as a logistic map, Mandelbrot set, Fourier Transformation on JPG and MRI data (DICOM file), sum function, replication of summary(lm(y~x)) and more...
https://journal.medicine.berlinexchange.de/statosphere
https://journal.medicine.berlinexchange.de/pub/into-the-stat-o-sphere