plotNorm2: Plot fitted bivariate normal distribution.

Description

Plots objects derived from function fitNorm2 in false color represenation.

Usage

plotNorm2(fn, colrange=c("gray82", "blue"), center=TRUE, selection=FALSE, ellipse=FALSE, pch=20, cex=1, col="dens", ...)

Arguments

List. Object derived from function fitNorm2

colrange

Character vector with valid color identifiers (eg name or RGB values) from which a smooth color palette is derived.

center

Logical. Assign center of distribution.

selection

Logical. Mark all points beyond selection.

ellipse

Logical. Plot area and borders of selection as ellipse.

pch

see par

cex

see par

col

see par or special cases dens for coloring according to density and prob for coloring according to probability.

...

further arguments that are passed on to plot.

Value

p, cov, mu, S (density values for each data pair, resulting object from call to cov.rob, midpoint of distribution, covariance matrix).

Details

Produces a scatterplot of paired data showing the densities of the fitted bivariate distribution from function fitNorm2 in false color representation. Additionally a selection of data points can be highlighted either by marking outliers or by showing its area.

Examples

Run this code

 sampdat <- readFCS(system.file("extdata",
   "fas-Bcl2-plate323-04-04.A01", package="prada"))
 nfit   <- fitNorm2(exprs(sampdat[,1:2]), scalefac=2)
 plotNorm2(nfit, selection=TRUE, ellipse=TRUE)

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