make_conditions: Prepare Fully Crossed Conditions

In brms: Bayesian Regression Models using 'Stan'

Prepare Fully Crossed Conditions

Description

This is a helper function to prepare fully crossed conditions primarily for use with the conditions argument of conditional_effects. Automatically creates labels for each row in the cond__ column.

Usage

make_conditions(x, vars, ...)

Arguments

x	An R object from which to extract the variables that should be part of the conditions.
vars	Names of the variables that should be part of the conditions.
...	Arguments passed to rows2labels.

Details

For factor like variables, all levels are used as conditions. For numeric variables, mean + (-1:1) * SD are used as conditions.

Value

A data.frame where each row indicates a condition.

See Also

conditional_effects, rows2labels

Examples

df <- data.frame(x = c("a", "b"), y = rnorm(10))
make_conditions(df, vars = c("x", "y"))

brms documentation built on Sept. 23, 2024, 5:08 p.m.