plotDistances: Visualize results of 'link{findThreshold}'

In clst: Classification by local similarity threshold

Description

The functions plotDistances and plotMutinfo are used to visualize the distance threshold calculated by findThreshold in the context of pairwise distances among objects in the reference set.

Usage

plotDistances(distances, D = NA, interval = NA,
              ylab = "distances", ...)

plotMutinfo(breaks, D = NA, interval = NA,
            xlab = "distance", ylab = "mutual information", ...)

Arguments

distances	The $distances element of the output value of findThreshold
breaks	The $breaks element of the output value of findThreshold
D	The distance threshold
interval	The range of values over which candidiate values of PMMI are evaluated.
xlab	Label the x axis of the plot.
ylab	Label the y axis of the plot.
...	Additional arguments are passed to bwplot (plotDistances) or xyplot

(plotMutinfo)

Details

plotDistances produces a box-and-whisker plot contrasting within- and between-group distances. plotMutinfo produces a plot of cutpoints vs mutual information scores.

Value

Returns a lattice grid object.

Author(s)

Noah Hoffman

See Also

findThreshold

Examples

data(iris)
dmat <- as.matrix(dist(iris[,1:4], method="euclidean"))
groups <- iris$Species
thresh <- findThreshold(dmat, groups)
do.call(plotDistances, thresh)
do.call(plotMutinfo, thresh)

clst documentation built on Nov. 8, 2020, 5:41 p.m.