ols_plot_resid_stud: Studentized residual plot

In olsrr: Tools for Building OLS Regression Models

Studentized residual plot

Description

Graph for identifying outliers.

Usage

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.

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.

Value

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

See Also

ols_plot_resid_stand()

Examples

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

olsrr documentation built on May 29, 2024, 12:35 p.m.