yarrr

YaRrr Package

The yarrr package contains a mixture of data, functions and tutorials supporting the e-book YaRrr! The Pirate's Guide to R (www.thepiratesguidetor.com).

To install the package from github, run the following code

install("devtools") # Install the devtools package to get the install_github function
devtools::install_github("ndphillips/yarrr", build_vignette = T) # Install the yarrr package
library("yarrr") # Load the package

Here are the most important parts of the package:

pirateplot()

The pirateplot function creates a pirateplot, a transparent (both literally and figuratively) plot for displaying continuous data as a function of 1 (or 2) discrete variables. Unlike traditional plots, like barplots and boxplots, the pirateplot shows both raw data (jittered points), descriptive statistics (line and/or bar), and inferential statistics (95% Bayesian Highest Density Intervals or Confidence Intervals), in one plot. While the default plot shows all these elements, the user can easily customize the transparency of each element using additional arguments.

For example, here is a pirateplot of the weight of chickens (from the ChickWeight dataset)

yarrr::pirateplot(formula = weight ~ Time, data = ChickWeight)

See http://rpubs.com/yarrr/pirateplot for details.

Updates

0.0.7

Major

• pirateplot() can now handle up to 3 IVs! (e.g.; pirateplot(age ~ sex + headband + favorite.pirate, data = pirates). Levels of the third IV are shown in separate plots in a grid.

Minor and Bug-fixes

• The inf.p parameter in pirateplot() was prevously not being passed to the Bayesian HDIs, rendering all inference bands to be the default of 95% (thanks to Roman Pahl for catching this). This has now been fixed

0.0.6

Major

• Added hdi.band argument to pirateplot(). Setting hdi.band = "tight" will constrain inference bands to bean densities
• Minor changes to gridlines when specifying gl.col