| z_scored_mlm {psycCleaning} | R Documentation |
Z-scored for multilevel analyses
Description
This function will group mean centered the scores at the level 1 and create an aggregated mean score for each group at L2. After that, the group-mean-centered L1 scores and mean L2 scores will be z-scored with respect to the grand mean. Please see 'center_mlm' if you want to use the version without the z-scoring.
Usage
z_scored_mlm(data, cols, group, keep_original = TRUE)
Arguments
data |
A data.frame or a data.frame extension (e.g. a tibble). |
cols |
Columns that need to be centered. See 'dplyr::dplyr_tidy_select' for available options. |
group |
The grouping/cluster variable. |
keep_original |
default is 'TRUE'. Set to 'FALSE' to remove original columns |
Value
An object of the same type as .data. The output has the following properties: 1. Columns from .data will be preserved 2. Columns with L1 scores that are group-mean centered then grand-mean z-scored. 3. Columns with L2 aggregated means that are z-scored
Examples
z_scored_mlm(iris,dplyr::ends_with('Length'),group = 'Species')