iclust.diagram {psych} | R Documentation

## Draw an ICLUST hierarchical cluster structure diagram

### Description

Given a cluster structure determined by `ICLUST`, create a graphic structural diagram using graphic functions in the psych package To create dot code to describe the `ICLUST` output with more precision, use `ICLUST.graph`. If Rgraphviz has been successfully installed, the alternative is to use `ICLUST.rgraph`.

### Usage

    iclust.diagram(ic, labels = NULL, short = FALSE, digits = 2, cex = NULL, min.size = NULL,
         e.size =1,colors=c("black","blue"),
         main = "ICLUST diagram",cluster.names=NULL,marg=c(.5,.5,1.5,.5))

### Arguments

`ic` | Output from ICLUST
`labels` | labels for variables (if not specified as rownames in the ICLUST output
`short` | if short=TRUE, variable names are replaced with Vn
`digits` | Round the path coefficients to digits accuracy
`cex` | The standard graphic control parameter for font size modifications. This can be used to make the labels bigger or smaller than the default values.
`min.size` | Don't provide statistics for clusters less than min.size
`e.size` | size of the ellipses with the cluster statistics.
`colors` | postive and negative
`main` | The main graphic title
`cluster.names` | Normally, clusters are named sequentially C1 ... Cn. If cluster.names are specified, then these values will be used instead.
`marg` | Sets the margins to be narrower than the default values. Resets them upon return

### Details

iclust.diagram provides most of the power of `ICLUST.rgraph` without the difficulties involved in installing Rgraphviz. It is called automatically from ICLUST.

Following a request by Michael Kubovy, cluster.names may be specified to replace the normal C1 ... Cn names.

If access to a dot language graphics program is available, it is probably better to use the iclust.graph function to get dot output for offline editing.

### Value

Graphical output summarizing the hierarchical cluster structure. The graph is drawn using the diagram functions (e.g., `dia.curve`, `dia.arrow`, `dia.rect`, `dia.ellipse` ) created as a work around to Rgraphviz.

### Note

Suggestions for improving the graphic output are welcome.

### Author(s)

William Revelle

### References

Revelle, W. Hierarchical Cluster Analysis and the Internal Structure of Tests. Multivariate Behavioral Research, 1979, 14, 57-74.

### See Also

`ICLUST`

### Examples

    v9 <- sim.hierarchical()
    v9c <- ICLUST(v9)
    test.data <- Harman74.cor$cov
    ic.out <- ICLUST(test.data)
    #now show how to relabel clusters
    ic.bfi <- iclust(bfi[1:25],beta=3) #find the clusters
    cluster.names <- rownames(ic.bfi$results) #get the old names
    #change the names to the desired ones
    cluster.names[c(16,19,18,15,20)] <- c("Neuroticism","Extra-Open","Agreeableness",
          "Conscientiousness","Open")
    #now show the new names
    iclust.diagram(ic.bfi,cluster.names=cluster.names,min.size=4,e.size=1.75)

[Package psych version 1.8.4 Index]