Plot of i-th residual vs i+1-th residual.

plot_autocorrelation(object, ..., variable = "_y_hat_", smooth = FALSE)

plotAutocorrelation(object, ..., variable, smooth = FALSE)

Arguments

object

An object of class 'auditor_model_residual' created with model_residual function.

...

Other 'auditor_model_residual' objects to be plotted together.

variable

Name of variable to order residuals on a plot. If variable="_y_", the data is ordered by a vector of actual response (y parameter passed to the explain function).

smooth

Logical, if TRUE smooth line will be added.

Value

A ggplot object.

Examples

dragons <- DALEX::dragons[1:100, ] # fit a model model_lm <- lm(life_length ~ ., data = dragons) # use DALEX package to wrap up a model into explainer exp_lm <- DALEX::explain(model_lm, data = dragons, y = dragons$life_length)
#> Preparation of a new explainer is initiated #> -> model label : lm (default) #> -> data : 100 rows 8 cols #> -> target variable : 100 values #> -> predict function : yhat.lm will be used (default) #> -> predicted values : numerical, min = 585.8311 , mean = 1347.787 , max = 2942.307 #> -> residual function : difference between y and yhat (default) #> -> residuals : numerical, min = -88.41755 , mean = -1.489291e-13 , max = 77.92805 #> A new explainer has been created!
# validate a model with auditor library(auditor) mr_lm <- model_residual(exp_lm) # plot results plot_autocorrelation(mr_lm)
plot(mr_lm, type = "autocorrelation")
plot_autocorrelation(mr_lm, smooth = TRUE)
plot(mr_lm, type = "autocorrelation", smooth = TRUE)