auditor (version 0.2.1)

plotResidual: Plot Residuals vs Observed, Fitted or Variable Values

Description

A plot of residuals against fitted values, observed values or any variable.

Usage

plotResidual(object, ..., variable = NULL)

Arguments

object

An object of class modelAudit.

...

Other modelAudit objects to be plotted together.

variable

Name of model variable to order residuals. If value is NULL data order is taken. If value is "Predicted response" or "Fitted values" then data is ordered by fitted values. If value is "Observed response" the data is ordered by a vector of actual response (y parameter passed to the audit function).

See Also

plot.modelAudit

Examples

# NOT RUN {
library(car)
lm_model <- lm(prestige~education + women + income, data = Prestige)
lm_au <- audit(lm_model, data = Prestige, y = Prestige$prestige)
plotResidual(lm_au)

library(randomForest)
rf_model <- randomForest(prestige~education + women + income, data = Prestige)
rf_au <- audit(rf_model, data = Prestige, y = Prestige$prestige)
plotResidual(lm_au, rf_au)

# }