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, ...)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.
A data.frame where each row indicates a condition.
For factor like variables, all levels are used as conditions.
For numeric variables, mean + (-1:1) * SD are used as conditions.
df <- data.frame(x = c("a", "b"), y = rnorm(10))
make_conditions(df, vars = c("x", "y"))
#> x y cond__
#> 1 a -0.8612030 x = a & y = -0.86
#> 2 a 0.3716612 x = a & y = 0.37
#> 3 a 1.6045254 x = a & y = 1.6
#> 4 b -0.8612030 x = b & y = -0.86
#> 5 b 0.3716612 x = b & y = 0.37
#> 6 b 1.6045254 x = b & y = 1.6