mixplot {hamlet}

Scatterplot for mixed type data

Description

This function plots a scatterplot similar to the default plot-function, with the difference that factor/character fields in input data.frame are handled as categorical variables. These categorical variables are color-coded and handled separately in marginal distributions.

Usage

mixplot(x, 
	main = NA, 
	match, 
	func = function(x, y, par) 
		{ segments(x0 = x[1], y0 = x[2], x1 = y[1], y1 = y[2], col = par)}, 
	legend = T, 
	col = palette(), na.lines = T, 
	origin = F, 
	marginal = F, 
	lhei, 
	lwid, 
	verb = 0,
...)

Arguments

x

A data.frame or a matrix of observations. Typically x should be a data.frame, where columns are of different types, e.g. some of 'numeric' and some of 'factor' class.

main

Main title plotted on top of the figure

match

A matching matrix (e.g. produced by hamlet::match.vec2mat) or a matching vector (e.g. produced by hamlet::match.mat2vec) that indicates with different values if certain observations should be connected.

func

The function to apply to each pair of observations 'x' and 'y'. By default, it is a segment line in 2 dimensions (each individual bivariate panel). Segment line color is indicated by the matching vector or individual element in the matching matrix. Thus 0-values indicate no line, while other values are used to annotate submatches. 'par' is the index of the submatch, and by default indicate the colors.

legend

Should an automated legend be generated

col

Colors per observation

na.lines

Should lines be drawn to represent one of the variables if the other one is missing in a 2-dim scatterplot

origin

Should the origin x=0, y=0 be separately indicated using lines

marginal

Should marginal distributions be drawn in sides of each scatterplot

lhei

Heights for bins in the layout

lwid

Widths for bins in the layout

verb

Level of verbosity: -1<= (no verbosity), 0/FALSE (warnings) or >=1/TRUE (additional information)

...

Additional parameters given to the plot-function

Value

An invisible return of the measurements and plot layout structure (matrix, heights, and widths)

Author(s)

Teemu Daniel Laajala <[e-mail]>

Examples

data(vcapwide)

mixplot(vcapwide[,c("Group", "PSAWeek4", "PSAWeek10", "PSAWeek14")], marginal=TRUE, pch=16, 
 main="PSA at weeks 4, 10 and 14 per intervention group")