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.
make_conditions(x, vars, ...)A data.frame where each row indicates a condition.
An R object from which to extract the variables that should be part of the conditions.
Names of the variables that should be part of the conditions.
Arguments passed to rows2labels.
For factor like variables, all levels are used as conditions.
For numeric variables, mean + (-1:1) * SD are used as conditions.
conditional_effects, rows2labels
df <- data.frame(x = c("a", "b"), y = rnorm(10))
make_conditions(df, vars = c("x", "y"))
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