Indicator Variables given Classification
Converts a classification into a matrix of indicator variables.
unmap(classification, groups=NULL, noise=NULL, ...)
classification |
A numeric or character vector. Typically the distinct entries of this vector would represent a classification of observations in a data set. |
groups |
A numeric or character vector indicating the groups from which
|
noise |
A single numeric or character value used to indicate the value of
|
... |
Catches unused arguments in indirect or list calls via |
An n by m matrix of (0,1) indicator variables,
where n is the length of classification and m is
the number of unique values or symbols in classification.
Columns are labeled by the unique values in classification,
and the [i,j]th entry is 1 if classification[i]
is the jth unique value or symbol in sorted order
classification.
If a noise value of symbol is designated, the corresponding indicator
variables are relocated to the last column of the matrix.
z <- unmap(iris[,5]) z[1:5, ] emEst <- me(modelName = "VVV", data = iris[,-5], z = z) emEst$z[1:5,] map(emEst$z)
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