R Data Science Tutorials

Learning R

TIDY DATA HADLEY PAPER
- Package ‘tidyr’: tidyr is an evolution of reshape2. It's design specifically for data tidying (not general reshaping or aggregating) and works well with dplyr data pipelines.
BROOM
plyr, stringr, reshape2 tutorial Video, CODE
dplyr
ggplot2
A speed test comparison of plyr, data.table, and dplyr
data.table
- Introduction to the data.table package in R
- Fast summary statistics in R with data.table
Other Packages
- Package 'e1071'
- Package ‘AppliedPredictiveModeling’
- Package ‘stringr’: stringr is a set of simple wrappers that make R's string functions more consistent, simpler and easier to use.
- Package ‘stringdist’: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (damerau-levenshtein, hamming, levenshtein, optimal sting alignment), qgrams or heuristic metrics
- Package ‘FSelector’: This package provides functions for selecting attributes from a given dataset
- Ryacas – an R interface to the yacas computer algebra system
- Scatterplot3d – an R package for Visualizing Multivariate Data
- tm.plugin.webmining intro
- Solving Differential Equations in R - ODE examples
- Structural Equation Modeling With the sem Package in R
- prettyScree - prettyGraphs