tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data

Transforms long data into a matrix form to allow for ease of input into modelling packages for regression, principal components, imputation or machine learning. It does this by pivoting on user defined columns, generating a key-value table for variable names to ensure one-to-one mappings are preserved. It is particularly useful when the indicator names in the columns are long descriptive strings, for example "Energy imports, net (% of energy use)". High level analysis wrapper functions for correlation and principal components analysis are provided.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	R6, dplyr, tidyr, tm, corrr, FactoMineR
Suggests:	testthat (≥ 3.0.0)
Published:	2024-08-26
DOI:	10.32614/CRAN.package.tidymodlr
Author:	David Hammond [aut, cre]
Maintainer:	David Hammond <anotherdavidhammond at gmail.com>
BugReports:	https://github.com/david-hammond/tidymodlr/issues
License:	MIT + file LICENSE
URL:	https://github.com/david-hammond/tidymodlr
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	tidymodlr results

Documentation:

Reference manual:

tidymodlr.pdf

Downloads:

Package source:	tidymodlr_1.0.0.tar.gz
Windows binaries:	r-devel: tidymodlr_1.0.0.zip, r-release: tidymodlr_1.0.0.zip, r-oldrel: tidymodlr_1.0.0.zip
macOS binaries:	r-release (arm64): tidymodlr_1.0.0.tgz, r-oldrel (arm64): tidymodlr_1.0.0.tgz, r-release (x86_64): tidymodlr_1.0.0.tgz, r-oldrel (x86_64): tidymodlr_1.0.0.tgz

Linking:

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