R Dataset / Package datasets / occupationalStatus

On this R-data statistics page, you will find information about the occupationalStatus data set which pertains to Occupational Status of Fathers and their Sons. The occupationalStatus data set is found in the datasets R package. You can load the occupationalStatus data set in R by issuing the following command at the console data("occupationalStatus"). This will load the data into a variable called occupationalStatus. If R says the occupationalStatus data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with the library() command. 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 occupationalStatus R data set. The size of this file is about 223 bytes.

Occupational Status of Fathers and their Sons

Description

Cross-classification of a sample of British males according to each subject's occupational status and his father's occupational status.

Usage

occupationalStatus

Format

A table of counts, with classifying factors origin (father's occupational status; levels 1:8) and destination (son's occupational status; levels 1:8).

Source

Goodman, L. A. (1979) Simple Models for the Analysis of Association in Cross-Classifications having Ordered Categories. J. Am. Stat. Assoc., 74 (367), 537–552.

The data set has been in package gnm and been provided by the package authors.

Examples

require(stats); require(graphics)plot(occupationalStatus)##Fit a uniform association model separating diagonal effects
Diag <- as.factor(diag(1:8))
Rscore <- scale(as.numeric(row(occupationalStatus)), scale = FALSE)
Cscore <- scale(as.numeric(col(occupationalStatus)), scale = FALSE)
modUnif <- glm(Freq ~ origin + destination + Diag + Rscore:Cscore,
 family = poisson, data = occupationalStatus)summary(modUnif)
plot(modUnif) # 4 plots, with warning abouth_ii ~= 1

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

Attachments: csv, json

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