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 |
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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:
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