multiVarOutlierPlot {analysisPipelines}R Documentation

Multi-Variate Outlier Plot

Description

Multi-Variate Outlier Plot

Usage

multiVarOutlierPlot(data, depCol, indepCol, sizeCol, priColor = "blue",
  optionalPlots = 0, cutoffValue = 0.05)

Arguments

data

the dataframe that needs to be loaded

depCol

the name of column which is to be identified as dependent column

indepCol

the name of an independent column

sizeCol

the name of column used to define the size of point in plots

priColor

the primary color for the plots

optionalPlots

A Flag for optional plots

cutoffValue

A p-alue cutoff for detecting outliers

Details

Multivaraite outlier plot using the selected columns from the dataframe

Value

Outliers plot

See Also

Other Package EDA Utilites functions: CheckColumnType, bivarPlots, correlationMatPlot, getDatatype, ignoreCols, outlierPlot, univarCatDistPlots

Examples

## Not run: 
multiVarOutlierPlot(data = iris, depCol = "Sepal.Length",
   indepCol = "Sepal.Width", sizeCol = "Petal.Length")

## End(Not run)

[Package analysisPipelines version 1.0.2 Index]