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Type: Package
Date: 2020-04-27
Title: Gadget to Use the Data Preprocessing 'recipes' Package Interactively
Version: 0.1.0
Author: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Description: This gadget allows you to use the 'recipes' package belonging to 'tidymodels' to carry out the data preprocessing tasks in an interactive way. Build your 'recipe' by dragging the variables, visually analyze your data to decide which steps to use, add those steps and preprocess your data.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/AlbertoAlmuinha/shinyrecipes
BugReports: https://github.com/AlbertoAlmuinha/shinyrecipes/issues
Imports: dplyr, purrr, stringr, shiny, miniUI, shinyWidgets, shinyglide, sortable, rstudioapi, DT, tidyr, esquisse
Depends: recipes
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-05-01 18:20:24 UTC; albgonzal
Repository: CRAN
Date/Publication: 2020-05-05 17:30:02 UTC

Recipes Gadget

Description

Gadget to use the data preprocessing 'recipes' package interactively.

Usage

recipesGadget(.df, bake_list = NULL)

Arguments

.df

data frame, data table or tibble on which the preprocessing steps will be trained.

bake_list

A named list where each element is a data.frame, data.table or tibble on which the selected preprocessing steps can be applied.

Details

Find more information in the [shinyrecipes](https://albertoalmuinha.github.io/shinyrecipes/) web page.

Value

Returns a list containing the trained recipe as well as all the data to which the recipe has been applied within the gadget.

Author(s)

Alberto Almuiña

Examples

{if(interactive()){
recipesGadget(.df = mtcars, bake_list = list('mtcars1' = mtcars1))
}
}

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.
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