A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

Provides utility functions for, and drawing on, the 'data.table' package. The package also collates useful miscellaneous functions extending base R not available elsewhere.

Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the ...

'ggplot2' is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication.

A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.

Fitting a principal curve to a data matrix in arbitrary dimensions. Hastie and Stuetzle (1989) <doi:10.2307/2289936>.

Provides a formula interface to 'ggplot2' graphics.

Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.

Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel.

A tool for undergraduate and graduate courses in open-channel hydraulics. Provides functions for computing normal and critical depths, steady-state water surface profiles (e.g.

Interactive visualizations for profiling R code.