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.

Package details

AuthorDavid Hammond [aut, cre]
MaintainerDavid Hammond <anotherdavidhammond@gmail.com>
LicenseMIT + file LICENSE
Version1.0.0
URL https://github.com/david-hammond/tidymodlr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tidymodlr")

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tidymodlr documentation built on Sept. 11, 2024, 9:18 p.m.