Grue: Distribution of Grue Languages with UV-B Exposure

In MPDiR: Data sets and scripts for Modeling Psychophysical Data in R.

Description

Data reported by Lindsey and Brown (2002) based on a corpus of 203 languages (only 201 represented in this data set) of the numbers of languages with separate words for ‘blue’ and ‘green’, a combined word for the two, so-called grue-languages, or the word ‘dark’ for the two, as a function of the average annual exposure to UV-B light.

Usage

data(Grue)

Format

A data frame with 4 observations on the following 4 variables.

UV_B

a numeric vector indicating average annual UV-B exposure in kiloJoules/m^2

blue-green

a numeric vector giving the numbers of languages with a separate terms for ‘blue’ and ‘green’

grue

a numeric vector, the numbers of languages with a single term for ‘green/blue’

dark

a numeric vector, the numbers of languages with a term ‘dark’ for green or blue

Source

Data kindly provided by Angela M. Brown.

References

D. T. Lindsey and A. M. Brown (2002) Color naming and the phototoxic effects of sunlight on the eye. Psychological Science, 13, 506-512.

Examples

data(Grue)
barplot(t(as.matrix(Grue[, -1])), names.arg = round(Grue$UV_B, 1), 
	beside = TRUE, legend.text = c("blue-green", "grue", "dark"),
	col = c("white", "grey", "black"),
	ylim = c(0, 40), cex.lab = 1.5,
	xlab = expression(paste("Average UV-B (kJ/", m^2, ")")),
	ylab = "Numbers of Languages"
	)

MPDiR documentation built on May 2, 2019, 5:54 p.m.