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.
decodeClassLabels(x, valTrue = 1, valFalse = 0)
x |
class label vector |
valTrue |
see Details paragraph |
valFalse |
see Details paragraph |
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
a matrix containing the decoded class labels
The implementation is a slightly modified version of the function
class.ind from the nnet package of Brian Ripley.
Venables, W. N. and Ripley, B. D. (2002), 'Modern Applied Statistics with S', Springer-Verlag.
decodeClassLabels(c(1,3,2,3))
decodeClassLabels(c("r","b","b","r", "g", "g"))
data(iris)
decodeClassLabels(iris[,5])Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.