This collection of data exploration tools was developed at
    Yale University for the graphical exploration of complex
    multivariate data; barcode and gpairs now have their own
    packages.  The big.read.table() function provided here may be
    useful for large files when only a subset is needed (but please
    see the note in the help page for this function).

Implements the 'libyaml' 'YAML' 1.1 parser and emitter
  (<https://pyyaml.org/wiki/LibYAML>) for R.

A YAML-based
 mechanism for working with table metadata. Supports
 compact syntax for creating, modifying, viewing, exporting,
 importing, displaying, and plotting metadata coded as column 
 attributes. The 'yamlet' dialect is valid 'YAML' with
 defaults and conventions chosen to improve readability. 
 See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.

Setting layout through 'YAML' headers in 'R-Markdown' documents,
    enabling their automatic generation.
    Functions and methods may summarize 'R' objects in automatic reports, for
    instance check-lists and further reports applied to the packages 'taxlist'
    and 'vegtable'.

Tidy tools for quantifying how well model fits to a data set
    such as confusion matrices, class probability curve summaries, and
    regression metrics (e.g., RMSE).

A parser and a writer for 'WEKA' Attribute-Relation File Format
    <https://waikato.github.io/weka-wiki/arff_stable/> in pure R, with no dependencies. 
    As opposed to other R implementations, this package can read standard
    (dense) as well as sparse files, i.e. those where each row does only contain 
    nonzero components. Unlike 'RWeka', 'yarr' does not require any 'Java' installation
    nor is dependent on external software. This implementation is generalized from 
    those in packages 'mldr' and 'mldr.datasets'.

Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.