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Merge the levels of moderators generated by mod_levels() into a data frame.

Usage

merge_mod_levels(...)

Arguments

...

The output from mod_levels(), or a list of levels generated by mod_levels_list().

Value

A wlevels-class object, which is a data frame of the combinations of levels, with additional attributes about the levels.

Details

It merges the levels of moderators generated by mod_levels() into a data frame, with each row represents a combination of the levels. The output is to be used by cond_indirect_effects().

Users usually do not need to use this function because cond_indirect_effects() will merge the levels internally if necessary. This function is used when users need to customize the levels for each moderator and so cannot use mod_levels_list() or the default levels in cond_indirect_effects().

See also

mod_levels() on generating the levels of a moderator.

Examples


data(data_med_mod_ab)
dat <- data_med_mod_ab
# Form the levels from a list of lm() outputs
lm_m <- lm(m ~ x*w1 + c1 + c2, dat)
lm_y <- lm(y ~ m*w2 + x + w1 + c1 + c2, dat)
lm_out <- lm2list(lm_m, lm_y)
w1_levels <- mod_levels(lm_out, w = "w1")
w1_levels
#>               w1
#> M+1.0SD 6.173157
#> Mean    5.105602
#> M-1.0SD 4.038047
w2_levels <- mod_levels(lm_out, w = "w2")
w2_levels
#>               w2
#> M+1.0SD 4.040487
#> Mean    3.047789
#> M-1.0SD 2.055091
merge_mod_levels(w1_levels, w2_levels)
#>                                w1       w2
#> w1: M+1.0SD; w2: M+1.0SD 6.173157 4.040487
#> w1: M+1.0SD; w2: Mean    6.173157 3.047789
#> w1: M+1.0SD; w2: M-1.0SD 6.173157 2.055091
#> w1: Mean; w2: M+1.0SD    5.105602 4.040487
#> w1: Mean; w2: Mean       5.105602 3.047789
#> w1: Mean; w2: M-1.0SD    5.105602 2.055091
#> w1: M-1.0SD; w2: M+1.0SD 4.038047 4.040487
#> w1: M-1.0SD; w2: Mean    4.038047 3.047789
#> w1: M-1.0SD; w2: M-1.0SD 4.038047 2.055091