Dendrogram: Hierarchical Cluster Analysis Dendrograms

In metabolomics: Analysis of Metabolomics Data

Description

Produces a dendrogram.

Usage

Dendrogram(inputdata, distmethod = "manhattan", aggmethod = "ward", 
    main = "Dendrogram", cex = 1, ...)

Arguments

inputdata	A data frame in the input data format. This should have sample names in the first column to be read as row names, group names in the second column, and the variables in the remaining columns. These variables can be metabolites, masses, retention times, bins, areas or any other metabolomics variables of interest.
distmethod	The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski".
aggmethod	The agglomeration method to be used. This should be one of "ward", "single", "complete", "average", "mcquitty", "median" or "centroid".
main	Plot title.
cex	A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default.
...	Arguments to be passed on to other methods.

Value

A dendrogram plot.

Author(s)

Alysha M De Livera, Jairus B Bowne

See Also

dist, hclust.

Examples

    data(treated)
    treated.log <- LogTransform(treated)$output
    Dendrogram(treated.log)

metabolomics documentation built on May 29, 2017, 3:32 p.m.