R for Everyone

Explore R, RStudio, and R packages

Use R for math: variable types, vectors, calling functions, and more

Exploit data structures, including data.frames, matrices, and lists

Read many different types of data

Create attractive, intuitive statistical graphics

Write user-defined functions

Control program flow with if, ifelse, and complex checks

Improve program efficiency with group manipulations

Combine and reshape multiple datasets

Manipulate strings using Rs facilities and regular expressions

Create normal, binomial, and Poisson probability distributions

Build linear, generalised linear, and nonlinear models

Program basic statistics: mean, standard deviation, and t-tests

Train machine learning models

Assess the quality of models and variable selection

Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods

Analyse univariate and multivariate time series data

Group data via K-means and hierarchical clustering

Prepare reports, slideshows, and web pages with knitr

Display interactive data with RMarkdown and htmlwidgets

Implement dashboards with Shiny

Build reusable R packages with devtools and Rcpp

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