calcMI: Calculate Mutual information (MI)

In IDmeasurer: Assessment of Individual Identity in Animal Signals

Description

This function calculates Mutual information of actual and predicted individual identities in the dataset. It uses Linear discrimination analysis (MASS::lda) to predict individual identity. Settings for LDA are identical to those used in calcDS function, i.e., LDA uses leave-one-out cross-validation and priors are equal for each individual in dataset.

Reference: Mathevon, N., Koralek, A., Weldele, M., Glickman, S. E., & Theunissen, F. E. (2010). What the hyena’s laugh tells: Sex, age, dominance and individual signature in the giggling call of Crocuta crocuta. BMC Ecology, 10, 9-Article No.: 9. doi:10.1186/1472-6785-10-9

Usage

calcMI(df)

Arguments

df	A data frame with the first column indicating individual identity.

Value

Numeric value of mutual information (in bits).

See Also

calcPIC, calcHS

Other individual identity metrics: calcDS, calcF, calcHM, calcHSngroups, calcHSnpergroup, calcHSntot, calcHSvarcomp, calcHS, calcPICbetweenmeans, calcPICbetweentot, calcPIC

Examples

calcMI(ANmodulation)

IDmeasurer documentation built on May 9, 2019, 5:02 p.m.