yawp

Home to miscellanea. Functions included are generic helpers for data manipulation, visualization, and analysis.

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

Installation

devtools::install_github("vpnagraj/yawp", 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")

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)