R Dataset / Package robustbase / education

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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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Hollow Histogram

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Numerical Summaries

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Plot

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Regression

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<iframe src="https://embed.picostat.com/r-dataset-package-robustbase-education.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-59020.csv 1.21 KB
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 education data set which pertains to Education Expenditure Data. The education data set is found in the robustbase R package. You can load the education data set in R by issuing the following command at the console data("education"). This will load the data into a variable called education. If R says the education 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 education R data set. The size of this file is about 1,236 bytes.

Documentation

Education Expenditure Data

Description

Education Expenditure Data, from Chatterjee and Price (1977, p.108). This data set, representing the education expenditure variables in the 50 US states, providing an interesting example of heteroscedacity.

Usage

data(education)

Format

A data frame with 50 observations on the following 6 variables.

State

State

Region

Region (1=Northeastern, 2=North central, 3=Southern, 4=Western)

X1

Number of residents per thousand residing in urban areas in 1970

X2

Per capita personal income in 1973

X3

Number of residents per thousand under 18 years of age in 1974

Y

Per capita expenditure on public education in a state, projected for 1975

Source

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, p.110, table 16.

Examples

data(education)
education.x <- data.matrix(education[, 3:5])
summary(lm.education <- lm(Y ~ Region + X1+X2+X3, data=education))
## See  example(lmrob.M.S) # for how robust regression is used
--

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

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