olsrr: ols_plot_resid_stud_fit – R documentation

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ols_plot_resid_stud_fit

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, print_plot = TRUE)

Arguments

`model`	An object of class `lm`.
`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 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 `data.frame` with observation number, fitted values and deleted studentized residuals that exceed the `threshold` for classifying observations as outliers/influential observations
`threshold`	`threshold` for classifying an observation as an outlier/influential observation

Deprecated Function

ols_dsrvsp_plot() has been deprecated. Instead use ols_plot_resid_stud_fit().

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_plot_resid_stud_fit(model)

olsrr

Tools for Building OLS Regression Models

v0.5.3

MIT + file LICENSE

Authors

Aravind Hebbali [aut, cre]

Initial release