R Dataset / Package pscl / admit

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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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-pscl-admit.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-76383.csv 1.91 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 admit data set which pertains to Applications to a Political Science PhD Program. The admit data set is found in the pscl R package. You can load the admit data set in R by issuing the following command at the console data("admit"). This will load the data into a variable called admit. If R says the admit data set is not found, you can try installing the package by issuing this command install.packages("pscl") 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 admit R data set. The size of this file is about 1,960 bytes.

Documentation

Applications to a Political Science PhD Program

Description

Ordinal ratings (faculty evaluations) of applicants to a Political Science PhD Program.

Usage

data(admit)

Format

A data frame with 106 observations on the following 6 variables.

score

an ordered factor with levels 1 < 2 < 3 < 4 < 5

gre.quant

applicant's score on the quantitative section of the GRE; the maximum score is 800

gre.verbal

applicant's score on the verbal section of the GRE; the maximum score is 800

ap

1 if the applicant indicated an interest in American politics; 0 otherwise

pt

1 if the applicant indicated an interest in Political Theory; 0 otherwise

female

1 for female applicants; 0 otherwise

References

Jackman, Simon. 2004. "What Do We Learn From Graduate Admissions Committees?: A Multiple-Rater, Latent Variable Model, with Incomplete Discrete and Continuous Indicators." Political Analysis. 12(4):400-424.

Examples

data(admit)
summary(admit)
## ordered probit model
op1 <- MASS::polr(score ~ gre.quant + gre.verbal + ap + pt + female,
            Hess=TRUE,
            data=admit,
            method="probit")
summary(op1)
hitmiss(op1)
logLik(op1)
pR2(op1)   
--

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

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