MPDiR (version 0.2)

Grue: Distribution of Grue Languages with UV-B Exposure

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

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"
	)