IDmeasurer (version 1.0.0)

calcF: Calculate F-values for individual identity traits

Description

This function calculates ANOVA F-values (type I sum of squares) for all identity traits in dataset along with its significance. Each trait is used as dependent and identity code as independent variable. Reference: e.g., Miller, D. B. (1978). Species-typical and individually distinctive acoustic features of crow calls of red jungle fowl. Zeitschrift Fur Tierpsychologie-Journal of Comparative Ethology, 47, 182<U+2013>193.

Usage

calcF(df)

Arguments

df

A data frame with the first column indicating individual identity.

Value

A data frame with 11 rows and 3 columns (trait, f-value, and p-value).

See Also

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

Examples

# NOT RUN {
calcF(ANmodulation)

# }