get_coefs {faux} | R Documentation |
Get Coefficients from Data
Description
You need model coefficients to simulate multilevel data, and can get them from data simulated from parameters using sim_design() or rmulti().
Usage
get_coefs(data, formula = NULL, fun = stats::lm, ...)
Arguments
data |
A dataset in long format |
formula |
An lm formula (can be extracted from datasets created by sim_design) |
fun |
the model function |
... |
Further arguments to the model function |
Value
a list of the model coefficients
Examples
# simulate some data
data <- sim_design(within = 2, between = 2,
mu = c(1, 0, 1, 1),
long = TRUE, empirical = TRUE)
# get coefs for the full factorial model
get_coefs(data)
# a reduced model
get_coefs(data, y ~ B1 + W1)
# specify a different model function
data$y <- norm2binom(data$y)
get_coefs(data, fun = glm, family = binomial)
[Package faux version 1.2.1 Index]