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tidymodlr  

An R6 Class to Perform Analysis on Long Tidy Data
View on CRAN: Click here


Download and install tidymodlr package within the R console
Install from CRAN:
install.packages("tidymodlr")

Install from Github:
library("remotes")
install_github("cran/tidymodlr")

Install by package version:
library("remotes")
install_version("tidymodlr", "1.0.0")



Attach the package and use:
library("tidymodlr")
Maintained by
David Hammond
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-26
Latest Update: 2024-08-26
Description:
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.
How to cite:
David Hammond (2024). tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data. R package version 1.0.0, https://cran.r-project.org/web/packages/tidymodlr. Accessed 18 Feb. 2025.
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