mrct.plot {mrct}

Plot function for result from mrct()

Description

A function for descriptive plots for an object resulting from a call to mrct().

Usage

mrct.plot(mrct.object)

Arguments

mrct.object

A result from a call to mrct().

Value

Descriptive plots

aMHD.plot

Alpha-Mahalanobis distances, corresponding cutoff values and coloring according to estimated outliers (grey regular, black irregular).

aMHD.plot.w

Same as aMHD.plot, with additional re-weighting step.

Examples

# Similar to example in mrct() helpfile
# Fix seed for reproducibility
set.seed(123)

# Sample outlying indices
cont.ind <- sample(1:50, size=10)

# Generate 50 curves on the interval [0,1] at 50 timepoints with 20% outliers
y <- mrct.rgauss(x.grid=seq(0,1,length.out=50), N=50, model=1,
                 outliers=cont.ind, method="linear")

# Visualize curves (regular curves grey, outliers black)
colormap <- rep("grey",50); colormap[cont.ind] <- "black"
matplot(x=seq(0,1,length.out=50), y=t(y), type="l", lty="solid",
        col=colormap, xlab="t",ylab="")

# Run MRCT
mrct.y <- mrct(data=y, h=0.75, alpha=0.1,
               initializations=10, criterion="sum")

# Visualize alpha-Mahalanobis distance
# Colorinfromation according to estimated outliers (grey regular, black irregular)
mrct.plot(mrct.y)