rowdistr: Row distributions from a cross-tabulation of two variables

Description

Produces summaries and plots from a cross-tabulation. The output produced depends on the parameter 'comp'. Columns relate to response categories and rows to different populations.

Usage

rowdistr(
  crosstablist,
  comp = c("basic", "within", "between"),
  conf.level = 0.95,
  plot = TRUE,
  suppressText = FALSE
)

Value

A matrix of row proportions, i.e cell counts divided by row marginals.

Arguments

crosstablist: a list produced by 'crosstabs' or a matrix containing a 2-way table of counts (without marginal totals).
comp: three options: 'basic' (default), 'within', and 'between'.
conf.level: confidence level of the intervals.
plot: if FALSE then the row distribution plots are not displayed
suppressText: if TRUE then text results are not displayed

Details

The 'basic' option (default) produces the response distribution for each row population together with comparative bar charts.

If comp = 'between' the resulting output displays how the probability of falling into a response class (column) differs between populations. Confidence intervals for differences in proportions are produced together with a set of barcharts with LSD intervals.

If comp = 'within' the resulting output shows the extent to which the component probabilities of the same row distribution differ. Separate Chi-square tests for uniformity are produced for each row distribution as are confidence intervals for differences in proportions within the same distribution.

Arguments plot and suppressText are really only used when producing knitr or Sweave documents so that just the plot or just the text can be displayed in the document.

Examples

Run this code


data(body.df)
z = crosstabs(~ ethnicity + married, data = body.df)
rowdistr(z)
rowdistr(z, comp='between')
rowdistr(z, comp='within')


##from matrix of counts
z = matrix(c(4,3,2,6,47,20,40,62,11,8,7,22,3,0,1,10), 4, 4)
rowdistr(z)