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
##Learning R
##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
##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
##Time Series Analysis
##Bayesian Inference
##Machine Learning
- Using R for Multivariate Analysis (Online Book)
- Machine Learning Using R (Online Book)
- Linear Regression and Regularization Code
- Cheatsheet
##Sentiment Analysis
- qdap package, code
- sentimentr package
- tm.plugin.sentiment package
- Packages other than sentiment
- Sentiment Analysis and Opinion Mining
- tm_term_score
##Visualisation
##Statistics
##Useful R Packages
##Code Snippets