Coleman Data Set
Contains information on 20 Schools from the Mid-Atlantic and New England States, drawn from a population studied by Coleman et al. (1966). Mosteller and Tukey (1977) analyze this sample consisting of measurements on six different variables, one of which will be treated as a responce.
data(coleman, package="robustbase")
A data frame with 20 observations on the following 6 variables.
salaryP
staff salaries per pupil
fatherWc
percent of white-collar fathers
sstatus
socioeconomic status composite deviation: means for family size, family intactness, father's education, mother's education, and home items
teacherSc
mean teacher's verbal test score
motherLev
mean mother's educational level, one unit is equal to two school years
Y
verbal mean test score (y, all sixth graders)
Valentin Todorov
P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection Wiley, p.79, table 2.
data(coleman) pairs(coleman) summary( lm.coleman <- lm(Y ~ . , data = coleman)) summary(lts.coleman <- ltsReg(Y ~ . , data = coleman)) coleman.x <- data.matrix(coleman[, 1:6]) (Cc <- covMcd(coleman.x))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.