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.
Package details |
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Author | David Hammond [aut, cre] |
Maintainer | David Hammond <anotherdavidhammond@gmail.com> |
License | MIT + file LICENSE |
Version | 1.0.0 |
URL | https://github.com/david-hammond/tidymodlr |
Package repository | View on CRAN |
Installation |
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