dot-center_predictors: Internal Helper Function for Mean-Centering
In PowRPriori: Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models
.center_predictors R Documentation
Internal Helper Function for Mean-Centering
Description
This helper function is responsible for the mean centering of predictors. It detects whether any given predictor
is repeated within clusters (e.g. repeated measurements in participants) and automatically applies within-cluster
mean centering if this is the case. In all other cases, grand mean centering is applied.
Usage
.center_predictors(df, formula, subject_id_col = ".PowR_id")
Arguments
df
The dataframe to process
formula
The lme4 formula to extract predictors
subject_id_col
The name of the subject identifier column
Value
Dataframe with centered predictors
PowRPriori documentation built on May 12, 2026, 5:06 p.m.
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| .center_predictors | R Documentation |
Internal Helper Function for Mean-Centering
Description
This helper function is responsible for the mean centering of predictors. It detects whether any given predictor is repeated within clusters (e.g. repeated measurements in participants) and automatically applies within-cluster mean centering if this is the case. In all other cases, grand mean centering is applied.
Usage
.center_predictors(df, formula, subject_id_col = ".PowR_id")
Arguments
df |
The dataframe to process |
formula |
The lme4 formula to extract predictors |
subject_id_col |
The name of the subject identifier column |
Value
Dataframe with centered predictors
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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