tableplot: Construct a plot for categorical variable
In greybox: Toolbox for Model Building and Forecasting

tableplot

R Documentation

Construct a plot for categorical variable

Description

Function constructs a plot for two categorical variables based on table function

Usage

tableplot(x, y = NULL, labels = TRUE, legend = FALSE, points = TRUE,
  ...)

Arguments

`x`	First categorical variable. Can be either vector, factor, matrix or a data frame. If `y` is NULL and x is either matrix of a data frame, then the first two variables of the data will be plotted against each other.
`y`	Second categorical variable. If not provided, then only `x` will be plotted.
`labels`	Whether to print table labels inside the plot or not.
`legend`	If `TRUE`, then the legend for the tableplot is drawn. The plot is then produced on a separate canvas (new `par()`).
`points`	Whether to plot points in the areas. They help in understanding how many values lie in specific categories.
`...`	Other parameters passed to the plot function.

Details

The function produces the plot of the table() function with colour densities corresponding to the respective frequencies of appearance. If the value appears more often than the other (e.g. 0.5 vs 0.15), then it will be darker. The frequency of 0 corresponds to the white colour, the frequency of 1 corresponds to the black.

See details in the vignette "Marketing analytics with greybox": vignette("maUsingGreybox","greybox")