View source: R/plot_model_diagnostics.R
plot.model_diagnostics | R Documentation |
Plot Dataset Level Model Diagnostics
## S3 method for class 'model_diagnostics' plot(x, ..., variable = "y_hat", yvariable = "residuals", smooth = TRUE)
x |
a data.frame to be explained, preprocessed by the |
... |
other object to be included to the plot |
variable |
character - name of the variable on OX axis to be explained, by default |
yvariable |
character - name of the variable on OY axis, by default |
smooth |
logical shall the smooth line be added |
an object of the class model_diagnostics_explainer
.
apartments_lm_model <- lm(m2.price ~ ., data = apartments) explainer_lm <- explain(apartments_lm_model, data = apartments, y = apartments$m2.price) diag_lm <- model_diagnostics(explainer_lm) diag_lm plot(diag_lm) library("ranger") apartments_ranger_model <- ranger(m2.price ~ ., data = apartments) explainer_ranger <- explain(apartments_ranger_model, data = apartments, y = apartments$m2.price) diag_ranger <- model_diagnostics(explainer_ranger) diag_ranger plot(diag_ranger) plot(diag_ranger, diag_lm) plot(diag_ranger, diag_lm, variable = "y") plot(diag_ranger, diag_lm, variable = "construction.year") plot(diag_ranger, variable = "y", yvariable = "y_hat")
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