ResidualPlots: ResidualPlots

In AdrianAntico/RemixAutoML: AutoQuant

ResidualPlots

Description

Residual plots for regression models

Usage

ResidualPlots(
  TestData = NULL,
  Target = "Adrian",
  Predicted = "Independent_Variable1",
  DateColumnName = NULL,
  Gam_Fit = FALSE
)

Arguments

TestData	= NULL,
Target	= "Adrian",
Predicted	= "Independent_Variable1",
DateColumnName	"DateTime"
Gam_Fit	= TRUE

Author(s)

Adrian Antico

See Also

Other Model Evaluation and Interpretation: AutoShapeShap(), CumGainsChart(), EvalPlot(), ParDepCalPlots(), ROCPlot(), RedYellowGreen(), SingleRowShapeShap(), threshOptim()

Examples

## Not run: 
# Create fake data
test_data <- AutoQuant::FakeDataGenerator(
  Correlation = 0.80,
  N = 250000,
  ID = 0,
  FactorCount = 0,
  AddDate = TRUE,
  AddComment = FALSE,
  AddWeightsColumn = FALSE,
  ZIP = 0)

# Build Plots
output <- AutoQuant::ResidualPlots(
  TestData = test_data,
  Target = "Adrian",
  Predicted = "Independent_Variable1",
  DateColumnName = "DateTime",
  Gam_Fit = TRUE)

## End(Not run)

AdrianAntico/RemixAutoML documentation built on Feb. 3, 2024, 3:32 a.m.