OutlierMaskers {rapidsplithalf}

Exclude SD-based outliers in each matrix column

Description

Generate or update a mask matrix based on outlyingness of values in each column.

Usage

maskOutliers(x, sdlim = 3)

maskOutliersMasked(x, mask, sdlim = 3)

Arguments

x

Matrix in which to mark SD-based outliers by column.

sdlim

Standard deviation limit to apply; values beyond are classified as outliers and masked.

mask

A logical matrix determining which data points to include and which not to.

Value

A logical matrix with outliers (and previously masked values) marked as FALSE.

Examples

# Generate data with outliers
testmat<-matrix(rnorm(100),ncol=2)
testmat[1,]<-100
testmat[2,]<-50

# Detect outliers
maskOutliers(testmat)

# Generate a mask
testmask<-matrix(TRUE,ncol=2,nrow=50)
testmask[1,1]<-FALSE

# Detect outliers with pre-existing mask
maskOutliersMasked(x=testmat, 
                   mask=testmask, sdlim = 3)