plotD3: Model Diagnostic Plots in D3 with r2d3 package.

In auditor: Model Audit - Verification, Validation, and Error Analysis

Model Diagnostic Plots in D3 with r2d3 package.

Description

This function provides several diagnostic plots for regression and classification models. Provide object created with one of auditor's computational functions, model_residual, model_cooksdistance, model_evaluation, model_performance, model_evaluation.

Usage

plotD3(x, ...)

plotD3_auditor(x, ..., type = "residual")

## S3 method for class 'auditor_model_residual'
plotD3(x, ..., type = "residual")

## S3 method for class 'auditor_model_halfnormal'
plotD3(x, ..., type = "residual")

## S3 method for class 'auditor_model_evaluation'
plotD3(x, ..., type = "residual")

## S3 method for class 'auditor_model_cooksdistance'
plotD3(x, ..., type = "residual")

Arguments

x	object of class auditor_model_residual (created with model_residual function), auditor_model_performance (created with model_performance function), auditor_model_evaluation (created with model_evaluation function), auditor_model_cooksdistance (created with model_cooksdistance function), or auditor_model_halfnormal (created with model_halfnormal function).
...	other arguments dependent on the type of plot or additional objects of classes 'auditor_model_residual', 'auditor_model_performance', 'auditor_model_evaluation', 'auditor_model_cooksdistance', 'auditor_model_halfnormal'.
type	the type of plot. Single character. Possible values: 'acf', 'autocorrelation', 'cooksdistance', 'halfnormal','lift', 'prediction', 'rec', 'resiual', 'roc', 'rroc', 'scalelocation', (for detailed description see corresponding functions in see also section).

See Also

plotD3_acf, plotD3_autocorrelation, plotD3_cooksdistance, plotD3_halfnormal, plotD3_residual, plotD3_lift, plotD3_prediction, plotD3_rec, plotD3_roc, plotD3_rroc, plotD3_scalelocation

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
mr_lm <- model_residual(lm_audit)

# plot results
plotD3(mr_lm)
plotD3(mr_lm, type = "prediction")

hn_lm <- model_halfnormal(lm_audit)
plotD3(hn_lm)

auditor documentation built on Nov. 2, 2023, 6:13 p.m.