Generate a partial regression plot for a specified independent and dependent variable while adjusting for covariates. In addition to the figure, key parameters such as the correlation method, whether relabeling was used, the covariates, R², p-value, and sample size are returned.
Usage
PlotPartialRegressionScatter(
DataFrame,
IndepVar,
DepVar,
Covariates = NULL,
Relabel = TRUE
)Arguments
- DataFrame
The dataset to use.
- IndepVar
A string specifying the independent variable.
- DepVar
A string specifying the dependent variable.
- Covariates
A character vector of covariate names for adjustment. Defaults to NULL.
- Relabel
Logical indicating whether to use labelled names from the data (using sjlabelled::get_label). Defaults to TRUE.
Value
A list containing:
- plot
A ggplot2 object representing the partial regression plot.
- method
The correlation method (as provided).
- Relabel
Logical; whether relabeling was applied.
- Covariates
The vector of covariates.
- r2
The R² of the partial regression model.
- p_value
The p-value for the independent variable coefficient.
- n
The sample size (number of complete cases).
- equation
The regression equation string.