olsrr: rvsr_plot_shiny – R documentation

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rvsr_plot_shiny

Residual vs regressors plot for shiny app

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

rvsr_plot_shiny(model, data, variable, print_plot = TRUE)

Arguments

`model`	An object of class `lm`.
`data`	A `data.frame` or `tibble`.
`variable`	Character; new predictor to be added to the `model`.
`print_plot`	logical; if `TRUE`, prints the plot else returns a plot object.

Examples

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

olsrr

Tools for Building OLS Regression Models

v0.5.3

MIT + file LICENSE

Authors

Aravind Hebbali [aut, cre]

Initial release