R Dataset / Package robustbase / coleman

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Plot

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Regression

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<iframe src="https://embed.picostat.com/r-dataset-package-robustbase-coleman.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-70026.csv 698 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com 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.

Documentation

Coleman Data Set

Description

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.

Usage

data(coleman)

Format

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)

Author(s)

Valentin Todorov

Source

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection Wiley, p.79, table 2.

Examples

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))
--

Dataset imported from https://www.r-project.org.

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