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General Social Survey– Sex and Party affiliation

GSS.Rd

Data from the General Social Survey, 1991, on the relation between sex and party affiliation.

Usage

data(GSS)

Format

A data frame in frequency form with 6 observations on the following 3 variables.

sex

a factor with levels female male

party

a factor with levels dem indep rep

count

a numeric vector

Source

Agresti, A. Categorical Data Analysis, 2nd E., John Wiley & Sons, 2002, Table 3.11, p. 106.

Examples

data(GSS)
str(GSS)
#> 'data.frame':	6 obs. of  3 variables:
#>  $ sex  : Factor w/ 2 levels "female","male": 1 2 1 2 1 2
#>  $ party: Factor w/ 3 levels "dem","indep",..: 1 1 2 2 3 3
#>  $ count: num  279 165 73 47 225 191

# use xtabs to show the table in a compact form
(GSStab <- xtabs(count ~ sex + party, data=GSS))
#>         party
#> sex      dem indep rep
#>   female 279    73 225
#>   male   165    47 191

# fit the independence model
(mod.glm <- glm(count ~ sex + party, family = poisson, data = GSS))
#> 
#> Call:  glm(formula = count ~ sex + party, family = poisson, data = GSS)
#> 
#> Coefficients:
#> (Intercept)      sexmale   partyindep     partyrep  
#>     5.56611     -0.35891     -1.30833     -0.06514  
#> 
#> Degrees of Freedom: 5 Total (i.e. Null);  2 Residual
#> Null Deviance:	    271.4 
#> Residual Deviance: 7.003 	AIC: 55.59

# display all the residuals in a mosaic plot
mosaic(mod.glm, 
  formula = ~ sex + party, 
  labeling = labeling_residuals, 
  suppress=0)