FindOutliers: FindOutliers

Description Usage Arguments Value Examples

Description

This function identifies time series outliers in a data signal

Usage

1
FindOutliers(x, IQRs = 3, plot = FALSE)

Arguments

x

a numeric vector or time series to be processed

IQRs

Allowable number of IQRs' away from the first or third quartile for a point to not be considered an outlier. Higher numbers result in fewer outliers.

plot

Enables a plot highlighting detected outliers

Value

A vector with likely weights of outliers.

Examples

1
2
FindOutliers(c(2,1,2,2,0,2,20000,2,2,1,2))
FindOutliers(c(1,2,3,5,-10,4,2,4,2,6,8,9), plot=TRUE)

grieman/grieman documentation built on May 17, 2019, 8:36 a.m.