ols_plot_obs_fit: Observed vs fitted values plot

Description Usage Arguments Details Deprecated Function Examples

View source: R/ols-observed-vs-predicted-plot.R

Description

Plot of observed vs fitted values to assess the fit of the model.

Usage

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ols_plot_obs_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

Ideally, all your points should be close to a regressed diagonal line. Draw such a diagonal line within your graph and check out where the points lie. If your model had a high R Square, all the points would be close to this diagonal line. The lower the R Square, the weaker the Goodness of fit of your model, the more foggy or dispersed your points are from this diagonal line.

Deprecated Function

ols_ovsp_plot() has been deprecated. Instead use ols_plot_obs_fit().

Examples

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

olsrr documentation built on Feb. 10, 2020, 5:07 p.m.