tidymodlr-package: 'tidymodlr': Modelling with tidy long data

tidymodlr-packageR Documentation

tidymodlr: Modelling with tidy long data

Description

tidymodlr transforms long data into a matrix form to allow for ease of input into modelling packages for regression, principal components, imputation or machine learning.

Details

In many fields it is common to have data in tidy long data, with the rows representing many variables, but only one column representing the values (see ?wb for an example).

tidymodlr is particularly useful when the indicator names in the columns are long descriptive strings, for example 'Energy imports, net (% of energy use)'. In such cases a straight ⁠pivot wider⁠ generates column names that are not only cumbersome, but also generate errors in many standard modelling packages that require base column names.

High level analysis functions for correlation, imputation and principals components analysis are provided.

Author(s)

Maintainer: David Hammond anotherdavidhammond@gmail.com

See Also

Useful links:


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