gss2016: Data from the 2016 General Social Survey.
In catregs: Post-Estimation Functions for Generalized Linear Mixed Models
gss2016 R Documentation
Data from the 2016 General Social Survey.
Description
Limited date from the 2016 General Social Survey on respondent and paternal class and occupational classifications.
Usage
data("gss2016")
Format
A data frame with 12498 observations on the following 13 variables.
pclassa factor with levels Unskilled Manual Skilled Manual Self-Employed Non-Manual/Service Professional, Lower Professional, Higher
sclassa factor with levels Unskilled Manual Skilled Manual Self-Employed Non-Manual/Service Professional, Lower Professional, Higher
educa numeric vector
racea character vector
ida numeric vector
occ2a character vector
occa numeric vector
unskmanuala numeric vector
skmanuala numeric vector
selfempa numeric vector
servicea numeric vector
proflowa numeric vector
profhigha numeric vector
Source
The General Social Survey.
Examples
data(gss2016)
head(gss2016)
catregs documentation built on Sept. 11, 2024, 6:18 p.m.
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| gss2016 | R Documentation |
Data from the 2016 General Social Survey.
Description
Limited date from the 2016 General Social Survey on respondent and paternal class and occupational classifications.
Usage
data("gss2016")Format
A data frame with 12498 observations on the following 13 variables.
pclassa factor with levels
Unskilled ManualSkilled ManualSelf-EmployedNon-Manual/ServiceProfessional, LowerProfessional, Highersclassa factor with levels
Unskilled ManualSkilled ManualSelf-EmployedNon-Manual/ServiceProfessional, LowerProfessional, Highereduca numeric vector
racea character vector
ida numeric vector
occ2a character vector
occa numeric vector
unskmanuala numeric vector
skmanuala numeric vector
selfempa numeric vector
servicea numeric vector
proflowa numeric vector
profhigha numeric vector
Source
The General Social Survey.
Examples
data(gss2016)
head(gss2016)
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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