British Social Mobility from Glass(1954)

Glass(1954) gave this 5 x 5 table on the occupations of 3500 British fathers and their sons.

Usage

data("Glass")

Format

A frequency data frame with 25 observations on the following 3 variables representing a 5 x 5 table with 3500 cases.

father: a factor with levels Managerial Professional Skilled Supervisory Unskilled
son: a factor with levels Managerial Professional Skilled Supervisory Unskilled
Freq: a numeric vector

Details

The occupational categories in order of status are: (1) Professional & High Administrative (2) Managerial, Executive & High Supervisory (3) Low Inspectional & Supervisory (4) Routine Nonmanual & Skilled Manual (5) Semi- & Unskilled Manual

However, to make the point that factors are ordered alphabetically by default, Friendly & Meyer (2016) introduce this data set in the form given here.

Source

Glass, D. V. (1954), Social Mobility in Britain. The Free Press.

References

Bishop, Y. M. M. and Fienberg, S. E. and Holland, P. W. (1975). Discrete Multivariate Analysis: Theory and Practice, MIT Press.

Friendly, M. and Meyer, D. (2016). Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data. Boca Raton, FL: Chapman & Hall/CRC. http://ddar.datavis.ca.

Examples

data(Glass)
glass.tab <- xtabs(Freq ~ father + son, data=Glass)

largs <- list(set_varnames=list(father="Father's Occupation", 
                                son="Son's Occupation"),
              abbreviate=10)
gargs <- list(interpolate=c(1,2,4,8))

mosaic(glass.tab, 
  shade=TRUE, 
  labeling_args=largs, 
  gp_args=gargs,
  main="Alphabetic order", 
  legend=FALSE, 
  rot_labels=c(20,90,0,70))


# reorder by status
ord <- c(2, 1, 4, 3, 5) 
mosaic(glass.tab[ord, ord], 
  shade=TRUE, 
  labeling_args=largs,  
  gp_args=gargs,
  main="Effect order", 
  legend=FALSE, 
  rot_labels=c(20,90,0,70))