FindOutliers

finds the outliers of a list of data.

Details

OutlierMethod	"IQR"	OutlierMethod is an option for FindOutliers. values can be "IQR", "SIQR" or "aIQR". "IRQ" is used for normally distributed data, "SIQR" or "aIQR" are better for skewed distributions.
OutlierOutput	"Mask"	OutlierOutput is an option for FindOutliers. If value is "Mask" it gives a list of 1 for data and 0 for outliers. Else the output is {data, outliers}.
OutlierIterations	1	OutlierIterations is an option for FindOutliers. Specifies how many iterations are used to find the outliers. Each iteration the outliers are reevaluated on the data with the previously found outliers already rejected.
OutlierRange	1.5	OutlierRange is an option for FindOutliers. Specifies how many times the IQR is considered an outlier.
OutlierIncludeZero	True	OutlierIncludeZero is an option for FindOutliers. If set to True all values that are zero are ignored and considered outliers.
OutlierCheckNormality	False	OutlierCheckNormality is an option for FindOutliers. If set to True the data is checked for normality using the DistributionFitTest function. If the data is not normal the data is log transformed before outlier detection.