tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data (original) (raw)

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
BugReports: https://github.com/david-hammond/tidymodlr/issues
License: MIT + file
URL: https://github.com/david-hammond/tidymodlr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tidymodlr results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tidymodlrto link to this page.