Calculates a contigency matrix (also known as a confusion matrix)

Description

Calculates a contigency matrix (also known as a confusion matrix), given a vector of real values and a vector of corresponding prediction values.

Usage

confusion.matrix(real, prediction)

Arguments

Details

This function is intended to be similar to table, but always returns a square matrix, which is the difference between a confusion matrix and a simple contingency table as returned by table

Value

See Also

table, accuracy, RCI

Examples

confusion.matrix(c(1,2,3,2),c(1,3,4,2))
# returns:
# prediction
# real 1 2 3 4
# 1 1 0 0 0
# 2 0 1 1 0
# 3 0 0 0 1
# 4 0 0 0 0