Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/similarity.subjects.R
Get similarity matrix for subjects (observations) based on variables of mixed data types
1 |
data |
data frame |
weights |
optional vector of weights for variables in |
Distances d.ij between subjects are calculated 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. Similarities s.ij are calculated as s.ij = 1 - d.ij.
Matrix of similarity values for each pair of subjects
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.subjects
, dist.subjects
, mix.heatmap
1 2 3 4 5 6 7 | data(mixdata)
S <- similarity.subjects(mixdata)
## example with weights
w <- rep(1:2, each=5)
S <- similarity.subjects(mixdata, weights=w)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.