Clean Data Frames

Provides a friendly interface for modifying data frames with a sequence of piped commands built upon the 'tidyverse' Wickham et al., (2019) . The majority of commands wrap 'dplyr' mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. Includes smart defaults and allows flexible selection of columns via 'tidyselect'.

framecleaner

framecleaner provides a tidyverse-friendly interface for modifying data frames with a sequence of piped commands. These commands wrap dplyr mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. It also includes smart defaults and allows selection of columns via tidyselect.

Installation

You can install the released version of framecleaner from CRAN with:

install.packages("framecleaner")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("Harrison4192/framecleaner")