plotD3_halfnormal {auditor} | R Documentation |
Plot Half-Normal in D3 with r2d3 package.
Description
The half-normal plot is one of the tools designed to evaluate the goodness of fit of a statistical models. It is a graphical method for comparing two probability distributions by plotting their quantiles against each other. Points on the plot correspond to ordered absolute values of model diagnostic (i.e. standardized residuals) plotted against theoretical order statistics from a half-normal distribution.
Usage
plotD3_halfnormal(object, ..., quantiles = FALSE, sim = 99, scale_plot = FALSE)
plotD3HalfNormal(object, ..., quantiles = FALSE, sim = 99, scale_plot = FALSE)
Arguments
object |
An object of class 'auditor_model_halfnormal' created with |
... |
Other 'auditor_model_halfnormal' objects. |
quantiles |
If TRUE values on axis are on quantile scale. |
sim |
Number of residuals to simulate. |
scale_plot |
Logical, indicates whenever the plot should scale with height. By default it's FALSE. |
Value
a r2d3
object
See Also
score_halfnormal, plot_halfnormal
Examples
dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# validate a model with auditor
hn_lm <- model_halfnormal(lm_audit)
# plot results
plotD3_halfnormal(hn_lm)
[Package auditor version 1.3.5 Index]