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This book introduces the programming language R and is meant for undergrads or graduate students studying criminology. R is a programming language that is well-suited to the type of work frequently done in criminology - taking messy data and turning it into useful information. While R is a useful tool for many fields of study, this book focuses on the skills criminologists should know and uses crime data for the example data sets.Notes for using R in criminology research
R Tutorial: useful R codes for cleaning and filtering data from Qualtrics surveys, and for creating new variables in the dataframe. With step-by-step explanations.
📊 Ronan's #TidyTuesday blog. Reproducible examples of data wrangling, visualisation, and analysis in R. Written using distill for R Markdown.
Tutorial dasar R dan eksplorasi data menggunakan package Tidyverse
Working through the R Packages ebook: https://r-pkgs.org/
Variant of swcarpentry/r-novice-inflammation for "FAIR Data an Software" workshops (contact: @katrinleinweber)
Données et code accompagnant les tutoriels de la chaine YouTube Apprendre R
Notes for R - Class (ITAM)
Shorter variant of "Data Carpentry R lessons on ecology"