Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/dendro.subjects.R
Get dendrogram for subjects (observations) based on variables of mixed data types
1 | dendro.subjects(data, weights, linkage="ward.D2")
|
data |
data frame |
weights |
optional vector of weights for variables in |
linkage |
agglomeration method used for hierarchical clustering; corresponds to parameter |
Distances between subjects are based on Gower's general similarity coefficient with an extension of Podani for ordinal variables, see gowdis. In the case that all variables are quantitative, Euclidean distances are used. Then a dendrogram is derived by standard hierarchical clustering (hclust with agglomeration method = "ward.D2" by default).
An object of class dendrogram
Manuela Hummel
Gower J (1971). A general coefficient of similarity and some of its properties. Biometrics, 27:857-871.
Podani J (1999). Extending Gower's general coefficient of similarity to ordinal characters. Taxon, 48(2):331-340.
dendro.variables, dist.subjects, mix.heatmap
1 2 3 4 5 6 7 8 9 | data(mixdata)
dend <- dendro.subjects(mixdata)
plot(dend)
## example with weights
w <- rep(1:2, each=5)
dend <- dendro.subjects(mixdata, weights=w)
plot(dend)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.