GenerateUnivariate: Generate dataset with a single individual identity trait

In IDmeasurer: Assessment of Individual Identity in Animal Signals

Description

This functions generates a dataset with desired parameters (number of individuals and number of observations per individual, mean of the parameter, individuality).

Usage

GenerateUnivariate(nindivs, nobs, betweenM, individuality)

Arguments

nindivs	Indicates how many individuals should be in dataset
nobs	Indicates how many observations per individual should be in dataset
betweenM	Indicates the mean value of the trait.
individuality	Indicates the ratio of between to within individual variation.

Value

Data frame with two columns. Identity codes are in the first column and the trait values are in the second column.

See Also

Other Operations with datasets: GenerateMultivariate

Examples

GenerateUnivariate(nindivs=10, nobs=10, betweenM=1000, individuality=2)

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