latent_covariates {galamm}

Simulated Data with Latent and Observed Covariates Interaction

Description

Simulated dataset for use in examples and testing with a latent covariate interacting with an observed covariate.

Usage

latent_covariates

Format

latent_covariates A data frame with 600 rows and 5 columns:

id

Subject ID.

type

Type of observation in the y variable. If it equals "measurement1" or "measurement2" then the observation is a measurement of the latent variable. If it equals "response", then the observation is the actual response.

x

Explanatory variable.

y

Observed response. Note, this includes both the actual response, and the measurements of the latent variable, since mathematically they are all treated as responses.

response

Dummy variable indicating whether the given row is a response or not.

See Also

Other datasets: cognition, diet, epilep, hsced, latent_covariates_long, lifespan, mresp, mresp_hsced