On this R-data statistics page, you will find information about the coleman data set which pertains to Coleman Data Set. The coleman data set is found in the robustbase R package. You can load the coleman data set in R by issuing the following command at the console data("coleman"). This will load the data into a variable called coleman. If R says the coleman data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the coleman R data set. The size of this file is about 698 bytes.
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.
A data frame with 20 observations on the following 6 variables.
staff salaries per pupil
percent of white-collar fathers
socioeconomic status composite deviation: means for family size, family intactness, father's education, mother's education, and home items
mean teacher's verbal test score
mean mother's educational level, one unit is equal to two school years
verbal mean test score (y, all sixth graders)
P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection Wiley, p.79, table 2.
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))
Dataset imported from https://www.r-project.org.