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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 |
| Reference manual: | tidymodlr.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.