| calcDS {IDmeasurer} | R Documentation |
Calculates discrimination score (DS)
Description
This function will take the specified data frame and will perform linear
discrimination analysis with leave-one-out crossvalidation and equal priors
for each individual (e.g., all priors will be set to 1/10 in case that the
dataset contains 10 individuals). Variables are not modified in any way;
scaling, centering, transformation of variables, or principal component
analysis, etc., if required, need to be done on dataset before calling this
function.
Reference: e.g. Hafner, G. W., Hamilton, C. L.,
Steiner, W. W., Thompson, T. J., & Winn, H. E. (1979). Signature information
in the song of the humpback whale. Journal of the Acoustical Society of
America, 66, 1-6. doi:10.1121/1.383072
Usage
calcDS(df)
Arguments
df |
A data frame with the first column noting individual identity of the sample. |
Value
Proportion of samples correctly classified by LDA in df.
See Also
Other individual identity metrics: calcF,
calcHM, calcHSngroups,
calcHSnpergroup, calcHSntot,
calcHSvarcomp, calcHS,
calcMI, calcPICbetweenmeans,
calcPICbetweentot, calcPIC
Examples
calcDS(ANmodulation)