plot-methods {distrEllipse}

Methods for Function plot in Package ‘distrEllipse’

Description

plot-methods

Usage

plot(x, y, ...)
## S4 method for signature 'SphericalDistribution,missing'
plot(x, Nsim = getdistrEllipseOption("Nsim"), ...,
               withED = getdistrEllipseOption("withED"),
               lwd.Ed = getdistrEllipseOption("lwd.Ed"),
               col.Ed = getdistrEllipseOption("col.Ed"),
               withMean = getdistrEllipseOption("withMean"),
               cex.mean = getdistrEllipseOption("cex.mean"),
               pch.mean = getdistrEllipseOption("pch.mean"),
               col.mean = getdistrEllipseOption("col.mean"))
## S4 method for signature 'MultivarMixingDistribution,missing'
plot(x, Nsim = getdistrEllipseOption("Nsim"), ...,
               withED = getdistrEllipseOption("withED"),
               lwd.Ed = getdistrEllipseOption("lwd.Ed"),
               col.Ed = getdistrEllipseOption("col.Ed"),
               withMean = getdistrEllipseOption("withMean"),
               cex.mean = getdistrEllipseOption("cex.mean"),
               pch.mean = getdistrEllipseOption("pch.mean"),
               col.mean = getdistrEllipseOption("col.mean"))

Arguments

x

object of class "SphericalDistribution" distribution to be plotted

y

missing

Nsim

number of (simulated) points to be plotted.

withED

logical; shall principal axes of the contour ellipsoid be plot in (for each panel)?

lwd.Ed

line width of principal axes (for each panel).

col.Ed

color of principal axes (for each panel).

withMean

logical; shall mean be plot in (for each panel)?

cex.mean

size of the mean symbol (for each panel).

pch.mean

mean symbol (for each panel).

col.mean

color of the mean symbol (for each panel).

...

addtional arguments for plot — see plot, plot.default, plot.stepfun

Details

Using pairs, plots all pairs of coordinates of the object, using simulated values. Any parameters of pairs may be passed on to this particular plot method.

See Also

pairs, plot plot.default, plot.stepfun, par

Examples

E0 <- matrix(c(2,1,1,4),2,2)%*%EllipticalDistribution()+c(2,1)
E1 <- matrix(c(3,2,2,4),2,2)%*%EllipticalDistribution(radDistr = exp(Binom(10,.8)))
plot(E0)
plot(E1, withED=FALSE, Nsim=5000)
mylist <- MultivarMixingDistribution(E0,E1, mixCoeff=c(1/4,3/4))
plot(mylist)