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

ols_plot_resid_fit_spread(model, print_plot = TRUE) ols_plot_fm(model, print_plot = TRUE) ols_plot_resid_spread(model, print_plot = TRUE)

model | An object of class |
---|---|

print_plot | logical; if |

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.

`ols_rfs_plot()`

, `ols_fm_plot()`

and `ols_rsd_plot()`

has been deprecated. Instead use `ols_plot_resid_fit_spread()`

,
`ols_plot_fm()`

and `ols_plot_resid_spread()`

.

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

# 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)