multiVarOutlierPlot: Multi-Variate Outlier Plot

In analysisPipelines: Compose Interoperable Analysis Pipelines & Put Them in Production

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)

analysisPipelines documentation built on July 1, 2020, 7:09 p.m.