outlierPlot {analysisPipelines}R Documentation

Outlier detection plot

Description

Outlier detection plot

Usage

outlierPlot(data, method = "iqr", columnName, cutoffValue = 0.05,
  priColor = "blue", optionalPlots = 0)

Arguments

data

the dataframe that needs to be loaded

method

the method on which outliers are to be identified

columnName

the name of column for which the outliers are identified

cutoffValue

the cut off value to define the threshold for outliers

priColor

the primary color for the plots

optionalPlots

A Flag for optional plots

Details

Outlier are to be identified on the selected column from the dataframe

Value

Outliers plot object

See Also

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

Examples

## Not run: 
outlierPlot(data = iris, columnName = "Sepal.Length")

## End(Not run)

[Package analysisPipelines version 1.0.2 Index]