class
From pmcgd v1.1
by Antonio Punzo
Matrix of Indicator Variables given Classification
Converts a classification vector into a matrix of indicator variables.
Usage
class(groups, k)
Arguments
 groups
 A numeric vector of integers. Typically the distinct entries of this vector would represent a classification of observations in a data set.
 k
 An integer indicating the number of groups.
Value

An $n$ (number of observations) by $k$ (number of groups) matrix of (0,1) indicator variables.
The
[i,j]
th entry is 1 if groups[i]
is j
and 0 otherwise.
References
Punzo, A., and McNicholas, P. D. (2013). Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions. arXiv.org eprint 1305.4669, available at: http://arxiv.org/abs/1305.4669.
See Also
Examples
n < 20
k < 3
prob < c(0.5,0.3,0.2)
groups < sample(1:k, size=n, replace = TRUE, prob = prob)
matclass < class(groups, k)
matclass
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