Description Usage Arguments Value Examples

View source: R/information_gain.R

Information gain (also called mutual information) is a measure of the mutual dependence between two variables (see https://en.wikipedia.org/wiki/Mutual_information).

1 2 3 | ```
information_gain(x, y)
IG(x, y)
``` |

`x` |
A factor representing a categorical variable. |

`y` |
A factor representing a categorical variable. |

Information gain estimation based on Sannon entropy for
variables `x`

and `y`

.

1 2 3 4 5 6 7 | ```
information_gain(factor(c(0,1)), factor(c(1,0)))
information_gain(factor(c(0,0,1,1)), factor(c(0,1,1,1)))
information_gain(factor(c(0,0,1,1)), factor(c(0,1,0,1)))
## Not run:
information_gain(c(0,1), c(1,0))
## End(Not run)
``` |

msu documentation built on Sept. 30, 2017, 5:05 p.m.

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