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))
}
}