map: Classification given Probabilities
In mixOmicsTeam/mixOmics: Omics Data Integration Project
map R Documentation
Classification given Probabilities
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
data(nutrimouse)
Y = unmap(nutrimouse$diet)
map(Y)
mixOmicsTeam/mixOmics documentation built on Nov. 19, 2024, 11:53 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| map | R Documentation |
Classification given Probabilities
Description
Converts a matrix in which each row sums to 1 into the nearest matrix of (0,1) indicator variables.
Usage
map(Y)
Arguments
Y |
A matrix (for example a matrix of conditional probabilities in which each row sums to 1). |
Value
A integer vector with one entry for each row of Y, in which the
i-th value is the column index at which the i-th row of
Y attains a maximum.
References
C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.
C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.
See Also
unmap
Examples
data(nutrimouse)
Y = unmap(nutrimouse$diet)
map(Y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.