R Data Science Tutorials

• This repo contains a curated list of R tutorials and packages for Data Science, NLP and Machine Learning. This also serves as a reference guide for several common data analysis tasks.

• Curated list of Python tutorials for Data Science, NLP and Machine Learning.

• Comprehensive topic-wise list of Machine Learning and Deep Learning tutorials, codes, articles and other resources.

Learning R

• Online Courses
  • tryR on Codeschool
  • Introduction to R for Data Science - Microsoft | edX
  • Introduction to R on DataCamp
  • Data Analysis with R
• Free resources for learning R
• R for Data Science - Hadley Wickham
• Advanced R - Hadley Wickham
• swirl: Learn R, in R
• Data Analysis and Visualization Using R
• MANY R PROGRAMMING TUTORIALS
• A Handbook of Statistical Analyses Using R, Find Other Chapters
• Cookbook for R
• Learning R in 7 simple steps

More Resources

• Awesome-R Repository on GitHub
• R Reference Card: Cheatsheet
• R bloggers: blog aggregator
• R Resources on GitHub
• Awesome R resources
• Data Mining with R
• Rob J Hyndman's R Blog
• Simple R Tricks and Tools (Video)
• RStudio GitHub Repo
• Tidying Messy Data in R Video
• Baseball Research with R
• 600 websites about R
• Implementation of 17 classification algorithms in R
• Cohort Analysis and LifeCycle Grids mixed segmentation with R
• Using R and Tableau
• COMPREHENSIVE VIEW ON CRAN PACKAGES
• Using R for Statistical Tables and Plotting Distributions
• Extended Model Formulas in R: Multiple Parts and Multiple Responses
• R vs Python: head to head data analysis
• R for Data Science: Hadley Wickham's Book
• R Study Group at UPenn
• Program-Defined Functions in R

Important Questions

• In R, why is bracket better than subset?
• Subsetting Data in R
• Vectorization in R: Why?
• Quickly reading very large tables as dataframes in R
• Using R to show data
• How can I view the source code for a function?
• How to make a great R reproducible example?
• R Grouping functions: sapply vs. lapply vs. apply. vs. tapply vs. by vs. aggregate
• Tricks to manage the available memory in an R session
• Difference between Assignment operators '=' and '<-' in R
• What is the difference between require() and library()?
• How can I view the source code for a function?
• How can I change fonts for graphs in R?

Common DataFrame Operations

• Create an empty data.frame
• Sort a dataframe by column(s)
• Merge/Join data frames (inner, outer, left, right)
• Drop data frame columns by name
• Remove rows with NAs in data.frame
• Quickly reading very large tables as dataframes in R
• Drop factor levels in a subsetted data frame
• Convert R list to data frame
• Convert data.frame columns from factors to characters
• Extracting specific columns from a data frame

Caret Package in R

• Ensembling Models with caret
• Model Training and Tuning
• Caret Model List
• relationship-between-data-splitting-and-traincontrol
• Specify model generation parameters
• Tutorial, Paper
• Ensembling models with R, Ensembling Regression Models in R

R Cheatsheets

• R Reference Card
• R Reference Card 2.0
• Data Wrangling in R
• ggplot2 Cheatsheet
• Shiny Cheatsheet
• devtools Cheatsheet
• markdown Cheatsheet, reference
• Data Exploration Cheatsheet

Reference Slides

• R Reference Card
• Association Rule Mining
• Time Series Analysis
• [Data Exploration and Visualisation](https://78462f86-a-e2d7344e-s-sites.googlegroups.com/a/rdatam