map: Classification given Probabilities

In ajabadi/mixOmics2: Omics Data Integration Project

Description

Converts a matrix in which each row sums to 1 into the nearest matrix of (0,1) indicator variables.

Usage

map(Y)

Arguments

Y	A matrix (for example a matrix of conditional probabilities in which each row sums to 1).

Value

A integer vector with one entry for each row of Y, in which the i-th value is the column index at which the i-th row of Y attains a maximum.

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.

C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

See Also

unmap

Examples

#' \dontrun{
Y = unmap(nutrimouse$diet)

map(Y)
}

ajabadi/mixOmics2 documentation built on Aug. 9, 2019, 1:08 a.m.