rmOutliers: rmOutliers

In TaylorAndrew/atClean: Methods for cleaning data

Description

rmOutliers converts outleirs (as defined as being some x number of standard deviations from the mean) to either NA, mean +/- x standard deviations, or the mean

Usage

rmOutliers(x, sdCut = 3, method = "remove")

Arguments

x	Vector of continuous values
sdCut	Number of standard deviations to use as a cut-point for finding outliers
method	Method for outlier handling. 'remove' sets outliers to NA. 'limits' will set outliers to be equal to the mean +/- the standard deviation set. 'average' sets outliers to be equal to the average.

Value

A numeric vector with no outliers

Examples

#example_vector <- c(100, rnorm(19, 5, 2))
#rmOutliers(example_vector, 3, method = "remove")
#rmOutliers(example_vector, 3, method = "limits")
#rmOutliers(example_vector, 3, method = "average")

TaylorAndrew/atClean documentation built on May 9, 2019, 4:21 p.m.