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.

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

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.

Deprecated Function

ols_srsd_plot() has been deprecated. Instead use ols_plot_resid_stud().

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)