A rotatogram is a method of displaying an association which is axis non-dominant. This is achieved in two ways: First, the method of estimating the slope and intercept uses the least-products method rather than more typical least squared error for the "dependent" variable. The least products method has no "dependent" variable and is scale independent. Second, the plot is rotated such that the resulting regression line is vertical, reducing the suggestion that the vertical axis is the dominant one. The slope can be read relative to either axis equally.

A dependency-light 'OpenTimelineIO' (OTIO)
    <https://github.com/AcademySoftwareFoundation/OpenTimelineIO>
    document layer in pure R. Provides
    constructors for the OTIO object model (timelines, tracks, clips,
    gaps, media references, rational times and time ranges), functional
    builders that return new objects, and readers and writers for
    canonical '.otio' files through 'jsonlite'. The optional 'RcppOTIO'
    package validates output against the real 'OpenTimelineIO' C++
    library. No compiled code.

An interface to the 'Open Tree of Life' API to retrieve
    phylogenetic trees, information about studies used to assemble the
    synthetic tree, and utilities to match taxonomic names to 'Open Tree
    identifiers'. The 'Open Tree of Life' aims at assembling a
    comprehensive phylogenetic tree for all named species.

Conditionally rotate or back-up files based on
    their size or the date of the last backup; inspired by the 'Linux'
    utility 'logrotate'.

Tools to help developers and producers manipulate R objects
    and outputs. It includes tools for displaying results and objects, and
    for formatting them in the correct format.

Visualize networks using the 'javascript' library 'roughjs'. This allows to draw sketchy, hand-drawn-like networks.

Implementations of algorithms for data analysis based on the
    rough set theory (RST) and the fuzzy rough set theory (FRST). We not only
    provide implementations for the basic concepts of RST and FRST but also
    popular algorithms that derive from those theories. The methods included in the
    package can be divided into several categories based on their functionality:
    discretization, feature selection, instance selection, rule induction and
    classification based on nearest neighbors. RST was introduced by Zdzisław
    Pawlak in 1982 as a sophisticated mathematical tool to model and process
    imprecise or incomplete information. By using the indiscernibility relation for
    objects/instances, RST does not require additional parameters to analyze the
    data. FRST is an extension of RST. The FRST combines concepts of vagueness and
    indiscernibility that are expressed with fuzzy sets (as proposed by Zadeh, in
    1965) and RST.