handy

The handy package is an R toolbox of commonly used functions for working with data.

This package aims to reduce repetitive data cleaning code into easy to use functions compatible with tidy data philosophy.

Installation

The user can use the devtools package to install the development version:

## devtools is required
library(devtools)
install_github("kevinrpan/handy")

Note: Windows users need devtools to install this way.

There are common steps that a data analyst faces:

This package aims to facilitate this basic data handling.

These functions are ones that I’ve found handy.

handy Function	Use Case	Description
`clean_names`	Clean Data	Normalize variable names of a data.frame to snake_case
`title_names`	Clean Data	Normalize variable names of a data.frame to Title Case
`remove_columns`	Clean Data	Removes columns that are either missing or non-unique
`add_mean_row`	Describe Data	Add a mean row to a data.frame of numeric values
`add_total_row`	Describe Data	Add a total row to a data.frame of numeric values
`check_variables`	Describe Data	Calculate % missing and number of unique values for all variables
`%p%`	Shorthand	Allow string concatenation by piping
`cs`	Shorthand	Makes a character vector without quotes
`named_list`	Shorthand	Makes a named list using object names
`multiplot`	Plotting	Arrange multiple plots
`scale_x_human`	Plotting	Scales ggplot axis to easily readable K, M, B, etc.
`scale_y_human`	Plotting	Scales ggplot axis to easily readable K, M, B, etc.
`write_excel`	Write Output	Write a list of data.frames in R to named sheets in an Excel workbook
`write_regression_to_excel`	Write Output	Write a list of data.frames in R to named sheets in an Excel workbook

Note: package is under development and functions available may change.

You are welcome to: