l.center: Center a Level-1 Variable

In myles-maillet/long.tools: Functions for Analyzing Longitudinal Data

Description

For centering level-1 variables, either with person-mean (i.e., within-person) or grand-mean centering. Using the function will output a new dataset with both the centered and group mean variables.

Usage

l.center(data, user_id, var_id, type = "pmc")

Arguments

data	dataset stored as dataframe
user_id	the name of the level-2 grouping variable (e.g., person id); can be stored as a factor, numeric, or integer within a dataframe
var_id	the name of the level-1 variable you want to center; should be stored as numeric or integer within a dataframe
type	the type of centering you want to use, either person-mean centering pmc (i.e., centering around the means of level-2 grouping variables) or grand-mean centering gmc (i.e., centering around the grand mean); defaults to pmc; see Hoffman & Stawksi (2009) for a discussion of centering approaches

Value

a dataframe with a centered variable appended to it; if using person-mean centering, the person-mean variable will also be appended

Author(s)

Myles A. Maillet, [e-mail]

References

Hoffman, L., & Stawski, R. S. (2009). Persons as contexts: Evaluating between-person and within-person effects in longitudinal analysis. Research in Human Development, 6(2-3), 97-120.

See Also

l.describe

Examples

new_ds <- l.center(data = ds, user_id = 'id', var_id = 'l1_var', type = 'pmc')

myles-maillet/long.tools documentation built on Jan. 3, 2021, 12:37 a.m.