decodeClassLabels

0th

Percentile

Decode class labels to a binary matrix

This method decodes class labels from a numerical or levels vector to a binary matrix, i.e., it converts the input vector to a binary matrix.

Usage
decodeClassLabels(x, valTrue = 1, valFalse = 0)
Arguments
x

class label vector

valTrue

see Details paragraph

valFalse

see Details paragraph

Details

In the matrix, the value valTrue (e.g. 1) is present exactly in the column given by the value in the input vector, and the value valFalse (e.g. 0) in the other columns. The number of columns of the resulting matrix depends on the number of unique labels found in the vector. E.g. the input c(1, 3, 2, 3) will result in an output matrix with rows: 100 001 010 001

Value

a matrix containing the decoded class labels

References

Venables, W. N. and Ripley, B. D. (2002), 'Modern Applied Statistics with S', Springer-Verlag.

Aliases
  • decodeClassLabels
Examples
# NOT RUN {
decodeClassLabels(c(1,3,2,3))
decodeClassLabels(c("r","b","b","r", "g", "g"))

data(iris)
decodeClassLabels(iris[,5])
# }
Documentation reproduced from package RSNNS, version 0.4-12, License: LGPL (>= 2) | file LICENSE

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