The objective of this package is to facilitate the preprocessing tasks offered by the {recipes} package in an interactive way.
shinyrecipes allows you to carry out preprocessing tasks in a simple and intuitive way. Create your recipe, visualize your data to decide what steps to use, add these steps, prepare your recipe and use it on new data without writing a single line of code.
Find more information in the shinyrecipes web page.
You can install shinyrecipes from CRAN:
install.packages('shinyrecipes')Or you can install the development version from Github:
remotes::install_github("AlbertoAlmuinha/shinyrecipes")In this example we can see a simple case in which we impute the missing values of the variable 'Ozone' with the knn algorithm.
If you encounter a bug, please file an issue with a minimal reproducible example on Issues. You can also make an inquiry if you wish.