A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

Base classes and functions for parsing and exporting phylogenetic trees. 'treeio' supports parsing analysis findings from commonly used software packages, allows linking external data to phylogeny and merging tree data obtained from different ...

Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

Download and process public domain works in the Project Gutenberg collection <http://www.gutenberg.org/>. Includes metadata for all Project Gutenberg works, so that they can be searched and retrieved.

A set of little functions that have been found useful to do little odds and ends such as plotting the results of K-means clustering, substituting special text characters, viewing parts of a data.frame, constructing formulas from text and building ...

Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and ...

Tools to convert from specific formats to more general forms of spatial data. Using tables to store the actual entities present in spatial data provides flexibility, and the functions here deliberately minimize the level of interpretation applied, ...

Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.

Functions either required by other Swedish Regional Cancer Center packages or standalone functions outside the scope of other packages.

Creating alluvial diagrams (also known as parallel sets plots) for multivariate and time series-like data.