Death rates per 1000 in Virginia in 1940.
A matrix with 5 rows and 4 columns.
The death rates are measured per 1000 population per year. They are cross-classified by age group (rows) and population group (columns). The age groups are: 50–54, 55–59, 60–64, 65–69, 70–74 and the population groups are Rural/Male, Rural/Female, Urban/Male and Urban/Female.
This provides a rather nice 3-way analysis of variance example.
Molyneaux, L., Gilliam, S. K., and Florant, L. C.(1947) Differences in Virginia death rates by color, sex, age, and rural or urban residence. American Sociological Review, 12, 525–535.
McNeil, D. R. (1977) Interactive Data Analysis. Wiley.
require(stats); require(graphics) n <- length(dr <- c(VADeaths)) nam <- names(VADeaths) d.VAD <- data.frame( Drate = dr, age = rep(ordered(rownames(VADeaths)), length.out = n), gender = gl(2, 5, n, labels = c("M", "F")), site = gl(2, 10, labels = c("rural", "urban"))) coplot(Drate ~ as.numeric(age) | gender * site, data = d.VAD, panel = panel.smooth, xlab = "VADeaths data - Given: gender") summary(aov.VAD <- aov(Drate ~ .^2, data = d.VAD)) opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0)) plot(aov.VAD) par(opar)
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