olsrr: ols_plot_resid_regressor – R documentation

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ols_plot_resid_regressor

Residual vs regressor plot

Description

Graph to determine whether we should add a new predictor to the model already containing other predictors. The residuals from the model is regressed on the new predictor and if the plot shows non random pattern, you should consider adding the new predictor to the model.

Usage

ols_plot_resid_regressor(model, variable, print_plot = TRUE)

Arguments

`model`	An object of class `lm`.
`variable`	New predictor to be added to the `model`.
`print_plot`	logical; if `TRUE`, prints the plot else returns a plot object.

Deprecated Function

ols_rvsr_plot() has been deprecated. Instead use ols_plot_resid_regressor().

Examples

model <- lm(mpg ~ disp + hp + wt, data = mtcars)
ols_plot_resid_regressor(model, 'drat')

olsrr

Tools for Building OLS Regression Models

v0.5.3

MIT + file LICENSE

Authors

Aravind Hebbali [aut, cre]

Initial release