tabpct: Two-way tabulation with mosaic plot

In epiDisplay: Epidemiological Data Display Package

Two-way tabulation with mosaic plot

Description

Two-way tabulation with automatic mosaic plot

Usage

tabpct(row, column, decimal = 1, percent = "both", 
    graph = TRUE, las = 0, main = "auto", xlab = "auto", 
    ylab = "auto", col = "auto", ...) 
  

Arguments

row, column	variables
decimal	number of decimals for the percentage in the table
percent	orientation of the percentage in the table
graph	automatic graphing
las	orientation of group labelling
main	main title
xlab	X axis label
ylab	Y axis label
col	colours of the bars
...	additional arguments for 'table'

0: always parallel to axis

1: always horizontal,

2: always perpendicular to the axis,

3: always vertical.

Details

'tabpct' gives column and row percent cross-tabulation as well as mosaic plot.

The width of the bar in the plot denotes the relative proportion of the row variable.

Inside each bar, the relative proportion denotes the distribution of column variables within each row variable.

The default value for the 'percent' orientation is "both". It can also be "col" or "row".

Due to limitation of 'mosaicplot', certain graphic parameters such as 'cex.main', 'cex.lab' are not acceptable. The parameter 'main', 'xlab' and 'ylab' can be suppressed by making equal to " ". An additional line starting with 'title' can be used to write new main and label titles with 'cex.main' and 'cex.lab' specified.

Value

Tables of row and column percentage

Author(s)

Virasakdi Chongsuvivatwong [e-mail]

See Also

'tab1', 'table', 'mosaicplot'

Examples

data(Oswego)
.data <- Oswego
attach(.data)
agegr <- cut(age, breaks=c(0,20,40,60,80))
tabpct(agegr, ill)
tabpct(agegr, ill, cex.axis=1) # enlarge value labels
# To increase the size of the various titles:
tabpct(agegr, ill, cex.axis=1, main="", xlab="", ylab="", col=c("blue","purple"))
title(main="Diseased by Age group", cex.main=1.8,
    xlab="Age (years)",ylab="Diseased", cex.lab=1.5)
detach(.data)
rm(list=ls())    

epiDisplay documentation built on May 18, 2022, 5:11 p.m.