ols_plot_resid_stud function

Studentized residual plot

Graph for identifying outliers.

ols_plot_resid_stud(model, threshold = NULL, print_plot = TRUE)

Arguments

• model: An object of class lm.
• threshold: Threshold for detecting outliers. Default is 3.
• print_plot: logical; if TRUE, prints the plot else returns a plot object.

Returns

ols_plot_resid_stud returns a list containing the following components:

• outliers: a data.frame with observation number and studentized residuals that exceed threshold for classifying an observation as an outlier - threshold: threshold for classifying an observation as an outlier

Details

Studentized deleted residuals (or externally studentized residuals) is the deleted residual divided by its estimated standard deviation. Studentized residuals are going to be more effective for detecting outlying Y observations than standardized residuals. If an observation has an externally studentized residual that is larger than 3 (in absolute value) we can call it an outlier.

Examples

model <- lm(mpg ~ disp + hp + wt, data = mtcars)
ols_plot_resid_stud(model)
ols_plot_resid_stud(model, threshold = 2)

See Also

ols_plot_resid_stand()