Residual fit spread plot

Plot to detect non-linearity, influential observations and outliers.

Usage

ols_plot_resid_fit_spread(model, print_plot = TRUE)

ols_plot_fm(model, print_plot = TRUE)

ols_plot_resid_spread(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

Consists of side-by-side quantile plots of the centered fit and the residuals. It shows how much variation in the data is explained by the fit and how much remains in the residuals. For inappropriate models, the spread of the residuals in such a plot is often greater than the spread of the centered fit.

References

Cleveland, W. S. (1993). Visualizing Data. Summit, NJ: Hobart Press.

Examples

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

# residual fit spread plot
ols_plot_resid_fit_spread(model)


# fit mean plot
ols_plot_fm(model)


# residual spread plot
ols_plot_resid_spread(model)