brm_simulate_categorical {brms.mmrm} | R Documentation |
Append simulated categorical covariates
Description
Simulate and append non-time-varying
categorical covariates to an existing brm_data()
dataset.
Usage
brm_simulate_categorical(data, names, levels, probabilities = NULL)
Arguments
data |
Classed |
names |
Character vector with the names of the new covariates
to simulate and append. Names must all be unique and
must not already be column names of |
levels |
Character vector of unique levels of the simulated categorical covariates. |
probabilities |
Either |
Details
Each covariate is a new column of the dataset with one independent
random categorical draw for each patient, using a fixed set of levels
(via base::sample()
with replace = TRUE
).
All covariates simulated this way are
independent of everything else in the data, including other covariates
(to the extent that the random number generators in R work as intended).
Value
A classed tibble
, like from brm_data()
or
brm_simulate_outline()
, but with new categorical covariate columns
and with the names of the new covariates appended to the
brm_covariates
attribute. Each new categorical covariate column
is a character vector, not the factor type in base R.
See Also
Other simulation:
brm_simulate_continuous()
,
brm_simulate_outline()
,
brm_simulate_prior()
,
brm_simulate_simple()
Examples
data <- brm_simulate_outline()
brm_simulate_categorical(
data = data,
names = c("site", "region"),
levels = c("area1", "area2")
)
brm_simulate_categorical(
data = data,
names = c("site", "region"),
levels = c("area1", "area2"),
probabilities = c(0.1, 0.9)
)