cluster: Cluster analysis (of constructs or elements).

In OpenRepGrid: Tools to analyse repertory grid data

Description

Cluster analysis (of constructs or elements). cluster is a preliminary implementation of a cluster function. It supports various distance measures as well as cluster methods. More is to come.

Usage

cluster(x, along=0, dmethod="euclidean", cmethod="ward", p=2,
    trim=NA, main, mar=c(4, 2, 3, 15), cex=0, lab.cex=0.8,
    cex.main=0.9, print=TRUE, ...)

Arguments

x	repgrid object.
along	Along which dimension to cluster. 1 = constructs only, 2= elements only, 0=both (default).
dmethod	The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given. For additional information on the different types type ?dist.
cmethod	The agglomeration method to be used. This should be (an unambiguous abbreviation of) one of "ward", "single", "complete", "average", "mcquitty", "median" or "centroid".
p	The power of the Minkowski distance, in case "minkowski" is used as argument for dmethod.
trim	the number of characters a construct is trimmed to (default is 10). If NA no trimming is done. Trimming simply saves space when displaying the output.
main	Title of plot. The default is a name indicating the distance function and cluster method.
mar	Define the plot region (bottom, left, upper, right).
cex	Size parameter for the nodes. Usually not needed.
lab.cex	Size parameter for the constructs on the right side.
cex.main	Size parameter for the plot title (default is .9).
print	Logical. Wether to print the dendrogram (default is TRUE).
...	Additional parameters to be passed to plotting function from as.dendrogram. Type ?as.dendrogram for further information. This option is usually not needed, except if special designs are needed.

Value

Reordered repgrid object.

Author(s)

Mark Heckmann

See Also

bertinCluster

Examples

## Not run: 

cluster(bell2010)
cluster(bell2010, main="My cluster analysis")   # new title
cluster(bell2010, type="t")                     # different drawing style
cluster(bell2010, dmethod="manhattan")          # using manhattan metric
cluster(bell2010, cmethod="single")             # do single linkage clustering
cluster(bell2010, cex=1, lab.cex=1)             # change appearance
cluster(bell2010, lab.cex=.7,                   # advanced appearance changes
edgePar = list(lty=1:2, col=2:1))

## End(Not run)

OpenRepGrid documentation built on May 2, 2019, 4:54 p.m.