GowerSimilarities function

Gower Dissimilarities for mixed types of data

GowerSimilarities(x, y = NULL, Classes = NULL, transformation =
                   "sqrt(1-S)", BinCoef = "Simple_Matching", ContCoef =
                   "Gower", NomCoef = "GOW", OrdCoef = "GOW")

Arguments

• x: Main data. Distances among rows are calculated if y=NULL. Must be a data frame.
• y: Suplementary data matrix. If not NULL the distances among the rows of x and y are calculated. Must be a data frame with the same columns as x.
• Classes: Vector containing the classes of each variable.
• transformation: Transformation to apply to the similarities.
• BinCoef: Coefficient for the binary data
• ContCoef: Coefficient for the continuous data
• NomCoef: Coefficient for the nominal data
• OrdCoef: Coefficient for the ordinal data

Details

Gower Dissimilarities for mixed types of data. The transformation sqrt(1-S) is applied to the similarity by default.

Returns

An object of class proximities.This has components: - comp1: Description of

References

J. C. Gower. (1971) A General Coefficient of Similarity and Some of its Properties. Biometrics, Vol. 27, No. 4, pp. 857-871.

Author(s)

Jose Luis Vicente-Villardon

Examples

data(spiders)