GSS.2016: Subset of data from the General Social Survey from 2016. Data...
In rioplot: Turn a Regression Model Inside Out
GSS.2016 R Documentation
Subset of data from the General Social Survey from 2016. Data were analyzed in Schoon, Melamed, and Breiger (2024).
Description
Subset of data from the General Social Survey from 2016. Data were analyzed in Schoon, Melamed, and Breiger (2024). Full details on the variable selection and source information is available therein.
Usage
data("GSS.2016")
Format
A data frame with 2867 observations on the following 27 variables.
sclassa numeric vector
fulltimea numeric vector
retireda numeric vector
hrsworkeda numeric vector
occprestigea numeric vector
occprestige_partnera numeric vector
occprestige_mothera numeric vector
occprestige_fathera numeric vector
childrena numeric vector
agea numeric vector
educa numeric vector
paeduca numeric vector
maeduca numeric vector
speduca numeric vector
babsa numeric vector
femalea numeric vector
whitea numeric vector
blacka numeric vector
othera numeric vector
incomea numeric vector
republicana numeric vector
conservativea numeric vector
environmenta numeric vector
helpblackpeoplea numeric vector
sciencea numeric vector
govequalwealtha numeric vector
pclassa numeric vector
References
Schoon, Eric W., David Melamed, and Ronald L. Breiger. 2024. Regression Inside Out. NY: Cambridge University Press.
Examples
data(GSS.2016)
head(GSS.2016)
rioplot documentation built on June 22, 2024, 9:19 a.m.
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| GSS.2016 | R Documentation |
Subset of data from the General Social Survey from 2016. Data were analyzed in Schoon, Melamed, and Breiger (2024).
Description
Subset of data from the General Social Survey from 2016. Data were analyzed in Schoon, Melamed, and Breiger (2024). Full details on the variable selection and source information is available therein.
Usage
data("GSS.2016")Format
A data frame with 2867 observations on the following 27 variables.
sclassa numeric vector
fulltimea numeric vector
retireda numeric vector
hrsworkeda numeric vector
occprestigea numeric vector
occprestige_partnera numeric vector
occprestige_mothera numeric vector
occprestige_fathera numeric vector
childrena numeric vector
agea numeric vector
educa numeric vector
paeduca numeric vector
maeduca numeric vector
speduca numeric vector
babsa numeric vector
femalea numeric vector
whitea numeric vector
blacka numeric vector
othera numeric vector
incomea numeric vector
republicana numeric vector
conservativea numeric vector
environmenta numeric vector
helpblackpeoplea numeric vector
sciencea numeric vector
govequalwealtha numeric vector
pclassa numeric vector
References
Schoon, Eric W., David Melamed, and Ronald L. Breiger. 2024. Regression Inside Out. NY: Cambridge University Press.
Examples
data(GSS.2016)
head(GSS.2016)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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