This repository serves as a reference guide for several common data analysis tasks as well as some R functions and packages.

Also, check out these links for more resources on R:

##General Stuff

• awesome-R
• R vs Python
• R Resources 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

##Learning R

• Data Analysis and Visualization Using R
• MANY R PROGRAMMING TUTORIALS

##Caret Package

• rf
• 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

##Cheatsheets

• Data Wrangling
• ggplot2
• Shiny
• devtools
• markdown, reference
• Data Exploration

##Reference Slides

• Awesome R Reference Card
• Association Rule Mining
• Time Series Analysis
• Data Exploration and Visualisation
• Regression and Classification
• Text Mining on Twitter Data

##Neural Networks in R

• Visualizing Neural Nets in R
• nnet package

##Time Series Analysis

• Time Series Forecasting (Online Book)
• Time Series Analysis in R
• Components of Time Series Data
• Unobserved Component Models using R

##Bayesian Inference

• Packages for Bayesian Inference

##Machine Learning

• Using R for Multivariate Analysis (Online Book)
• Machine Learning Using R (Online Book)
• Linear Regression and Regularization Code
• Cheatsheet
• Multinomial and Ordinal Logistic Regression in R

##Sentiment Analysis

• qdap package, code
• sentimentr package
• tm.plugin.sentiment package
• Packages other than sentiment
• Sentiment Analysis and Opinion Mining
• tm_term_score

##Visualisation

• ggplot2 tutorial
• SHINY EXAMPLES

##Statistics

• Using R for Biomedical Statistics (Online Book)

##Useful R Packages

• dplyr tutorial 1, dplyr tutorial 2
• plyr, stringr, reshape2 tutorial Video
• ggplot2 tutorial

##Code Snippets

• Convert List to Data Frame