README.md

In FertigLab/scatterHatch: Creates hatched patterns for scatterplots

scatterHatch

The goal of scatterHatch is to create scatter plots that visually distinguish groups of data using color and texture in sparse or dense datasets.

Why you need scatterHatch?

It is often said that a picture is worth a thousand words. In bioinformatics, visualizations attempt to concisely convey complex relationships between a multitude of factors and groups. One could argue these visualizations are worth a lot more than a thousand words. However, it is important to remember there is a balance between encapsulating large amounts of information in a visualization, and correctly deciphering that same information from a visualization. This balance is not the same for everyone in an audience.

In bioinformatics, scatterplots often contain many groups represented by many colors. Distinguishing among unique groups can be a difficult task for colorblind individuals. This package provides the scatterHatch function that adds a texture to each group in a scatterplot so that colorblind individuals can distinguish groups using two characteristics instead of one.

Installation

You can install scatterHatch directly from the Github source.

install.packages("remotes")
remotes::install_github("FertigLab/scatterHatchPlots", dependencies = TRUE, build_vignettes = TRUE)

Vignettes

To learn how to use the scatterHatch package, run the vignette below in R.

• scatterHatch Vignette

FertigLab/scatterHatch documentation built on July 13, 2022, 9:23 p.m.