ols_plot_resid_stud_fit {olsrr} | R Documentation |
Deleted studentized residual vs fitted values plot
Description
Plot for detecting violation of assumptions about residuals such as non-linearity, constant variances and outliers. It can also be used to examine model fit.
Usage
ols_plot_resid_stud_fit(model, threshold = NULL, print_plot = TRUE)
Arguments
model |
An object of class |
threshold |
Threshold for detecting outliers. Default is 2. |
print_plot |
logical; if |
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 2 (in absolute value) we can call it an outlier.
Value
ols_plot_resid_stud_fit
returns a list containing the
following components:
outliers |
a |
threshold |
|
See Also
ols_plot_resid_lev()
, ols_plot_resid_stand()
,
ols_plot_resid_stud()
Examples
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_plot_resid_stud_fit(model)
ols_plot_resid_stud_fit(model, threshold = 3)