plotNorm2: Plot fitted bivariate normal distribution.

In prada: Data analysis for cell-based functional assays

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

fn	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.

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.

Value

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

Author(s)

Florian Hahne

See Also

fitNorm2

Examples

 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)

prada documentation built on April 28, 2020, 7:52 p.m.