What Does R's Class. Ind() Function Do and When Would I Use It?
R Documentation Says That Nnet: :Class. Ind() Generates a Class Indicator Function from a Given Factor. Does It Convert a Factor to Some Binary Classification?...
R documentation says that nnet::class.ind() generates a class indicator function from a given factor.
Does it convert a factor to some binary classification?
When and why do we use this function? Please give me some examples.
Any help appreciated. Thank you.
1 Answer
Yes. It creates indicator/dummy variables from a factor:
> set.seed(1)
> x <- factor(sample(1:3, 10, TRUE))
> nnet::class.ind(x)
1 2 3
[1,] 1 0 0
[2,] 0 1 0
[3,] 0 1 0
[4,] 0 0 1
[5,] 1 0 0
[6,] 0 0 1
[7,] 0 0 1
[8,] 0 1 0
[9,] 0 1 0
[10,] 1 0 0
It would be essentially the same as using model.matrix:
> model.matrix(~0+x)
x1 x2 x3
1 1 0 0
2 0 1 0
3 0 1 0
4 0 0 1
5 1 0 0
6 0 0 1
7 0 0 1
8 0 1 0
9 0 1 0
10 1 0 0
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