Anthropometry (version 1.19)

plotTreeHipamAnthropom: HIPAM dendogram

Description

This function represents a dendrogram for the clustering results provided by a HIPAM algorithm. It is a small modification of the original plot.tree function of the smida R package, available from https://www.math.rug.nl/~ernst/book/smida.html.

Usage

plotTreeHipamAnthropom(x,main,...)

Value

A device with the desired plot.

Arguments

x

The HIPAM object to be plotted.

main

Title of the plot.

...

Other arguments that may be supplied.

Author

This function was originally created by E. Wit et al., and it is available freely on https://www.math.rug.nl/~ernst/book/smida.html. We have slightly modified.

References

Vinue, G., Leon, T., Alemany, S., and Ayala, G., (2014). Looking for representative fit models for apparel sizing, Decision Support Systems 57, 22--33.

Wit, E., and McClure, J., (2004). Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons, Ltd.

Wit, E., and McClure, J., (2006). Statistics for Microarrays: Inference, Design and Analysis. R package version 0.1. https://www.math.rug.nl/~ernst/book/smida.html.

See Also

hipamAnthropom

Examples

dataHipam <- sampleSpanishSurvey
bust <- dataHipam$bust
bustSizes <- bustSizesStandard(seq(74, 102, 4), seq(107, 131, 6))

type <- "IMO"
maxsplit <- 5 ; orness <- 0.7
ah <- c(23, 28, 20, 25, 25)

#For reproducing results, seed for randomness:
#suppressWarnings(RNGversion("3.5.0"))
#set.seed(2013)
numSizes <- 1
res_hipam <- computSizesHipamAnthropom(dataHipam, bust, bustSizes$bustCirc, numSizes,
                                       maxsplit, orness, type, ah, FALSE)

plotTreeHipamAnthropom(res_hipam[[1]],
                       main=paste("Proposed Hierarchical PAM Clustering \n",
                       "74-78"))