HH: col3x2 – R documentation

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col3x2

col3x2 color dataset

Description

col3x2 color dataset.

Usage

data("col3x2")

Format

The format is: chr [1:6] "#1B9E77" "#D95F02" "#7570B3" "#66C2A5" "#FC8D62" "#8DA0CB"

Details

3x2 color scheme. These colors look like a 3x2 color array when run through the vischeck simulator to see how they look for the three most common color vision deficiencies: Deuteranope, Protanope, Tritanope.

References

About 10% of the population have color deficient vision. Your job is make your graphs legible to everyone. Download ImageJ from https://imagej.net/Downloads and VischeckJ from http://vischeck.com and follow the instructions in those sites. This program will allow you to simulate color deficient vision on your computer.

On my Mac, I need to doubleclick ij.jar to open the program. Then open the "Vischeck Panel" on the Plugins menu and navigate to a png file with the "File Open" menu. Click on each of the three types of color deficiency.

Examples

data(col3x2)
col3x2

## Not run: 
library(RColorBrewer)
library(lattice)
col3x2 <- c(brewer.pal(n=3, "Dark2"), brewer.pal(n=3, "Set2"))
col3x2
## save(col3x2, file="col3x2.rda") ## data(col3x2, package="HH")

## End(Not run)

## Not run: 
barchart(~ 1:6, col=col3x2, lwd=0, origin=0, horizontal=FALSE,
         scales=list(x=list(at=1:6, labels=col3x2)))


tmp <- array(c(1, rep(0,6)), c(1,3,2,6),
             dimnames=list("",
                           c("green","orange","blue"),
                           c("Dark2","Set2"),
                           col3x2))

useOuterStrips(barchart(tmp, col=col3x2,
                        between=list(x=1, y=1),
                        scales=list(x=list(at=-1)),
                        main="col3x2", xlab="")) +
  layer(panel.text(x=.5, y=1.45, labels=col3x2[panel.number()]))


## End(Not run)

HH

Statistical Analysis and Data Display: Heiberger and Holland

v3.1-43

GPL (>= 2)

Authors

Richard M. Heiberger

Initial release

2020-11-27