yawp

A collection of documented, tested, and packaged helper functions.

Installation

devtools::install_github("vpnagraj/yawp", branch = "main", build_vignettes = TRUE)

Note that the install command above will install the package from GitHub and build vignettes. If you would prefer not to build vignettes upon install then set build_vignettes = FALSE, which is the default in devtools::install_github().

Features

• betwixt(): Find values between lower and upper bounds of a range
• bound(): Bound a vector
• f1(): Calculate F1 score
• first_char(): Extract the first character from a string
• get_mode(): Find the mode
• gg_zoom(): Zoom in on a ggplot2 plot (EXPERIMENTAL)
• mav(): Calculate moving average
• medf(): Format median
• more(): Add filler rows to a data frame
• propf(): Calculate and format proportion
• read_repo(): Read files directly from a GitHub repository (EXPERIMENTAL)
• summary_se(): Calculate mean and standard error
• theme_mathbook(): Custom “math book” ggplot2 theme

Usage

The function documentation includes examples of usage, as do the package vignettes:

browseVignettes(package = "yawp")

Inspiration and Related Work

yawp is a utility package, and the functionality it provides is by no means unique. In fact, some of the functions were directly inspired by other tools. For example:

• betwixt() builds on the concept originally implemented in the between() function in dplyr but adds a feature to ignore specific values
• summary_se() re-implements summarySE() from “The Cookbook for R” with tidy eval syntax
• The moving average functionality in mav() is available elsewhere, including for example in slide() from slider
• While f1() calculates the F1 score, other available functions such as f_meas() from yardstick may accommodate more generic applications (i.e. applying weights to precision and recall)