View source: R/plotD3_residual.R
plotD3_residual | R Documentation |
Function plotD3_residual
plots residual values vs fitted, observed or variable values in the model.
plotD3_residual(
object,
...,
variable = "_y_",
points = TRUE,
smooth = FALSE,
std_residuals = FALSE,
nlabel = 0,
point_count = NULL,
single_plot = TRUE,
scale_plot = FALSE,
background = FALSE
)
plotD3Residual(
object,
...,
variable = NULL,
points = TRUE,
smooth = FALSE,
std_residuals = FALSE,
point_count = NULL,
single_plot = TRUE,
scale_plot = FALSE,
background = FALSE
)
object |
An object of class 'auditor_model_residual' created with |
... |
Other 'auditor_model_residual' objects to be plotted together. |
variable |
Name of variable to order residuals on a plot.
If |
points |
Logical, indicates whenever observations should be added as points. By default it's TRUE. |
smooth |
Logical, indicates whenever smoothed lines should be added. By default it's FALSE. |
std_residuals |
Logical, indicates whenever standardized residuals should be used. By default it's FALSE. |
nlabel |
Number of observations with the biggest residuals to be labeled. |
point_count |
Number of points to be plotted per model. Points will be chosen randomly. By default plot all of them. |
single_plot |
Logical, indicates whenever single or facets should be plotted. By default it's TRUE. |
scale_plot |
Logical, indicates whenever the plot should scale with height. By default it's FALSE. |
background |
Logical, available only if single_plot = FALSE. Indicates whenever background plots should be plotted. By default it's FALSE. |
a r2d3
object
plot_residual
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
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# validate a model with auditor
mr_lm <- model_residual(lm_audit)
# plot results
plotD3_residual(mr_lm)
library(randomForest)
model_rf <- randomForest(life_length~., data = dragons)
rf_audit <- audit(model_rf, data = dragons, y = dragons$life_length)
mr_rf <- model_residual(rf_audit)
plotD3_residual(mr_lm, mr_rf)
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