IDmeasurer (version 1.0.0)

GenerateMultivariate: Generate dataset with multiple individual identity traits

Description

This functions generates a dataset with desired parameters (number of individuals and number of observations per individual, number of variables and covariance between variables, individuality). Unlike for the function GenerateUnivariate, trait means are not customizable and are always set to 0.

Usage

GenerateMultivariate(nindivs, nobs, nvars, covar, individuality)

Arguments

nindivs

Indicates how many individuals should be in dataset

nobs

Indicates how many observations per individual should be in dataset

nvars

Indicates how many trait variables should be in dataset.

covar

Indicates covariance between variables in dataset. covar=0 for uncorrelated variables; covar=1 for fully correlated variables

individuality

Indicates the ratio of between to within individual variation in each trait variable.

Value

Data frame with the identity codes in the first column and trait variables in subsequent columns. Number of rows and columns depends on the parameters used to generate dataset.

See Also

Other Operations with datasets: GenerateUnivariate

Examples

# NOT RUN {
id1 <- GenerateMultivariate(nindivs=10, nobs=10, nvars=2, covar=0, individuality=1)

# }