drOutlier: Identifying outliers for dose-response data

In nickytong/drexplorer: Dose-response Explorer

Description

A wrapper for the NewmanTest() function. It repeatedly call NewmanTest() for each dose level.

Usage

drOutlier(drMat, alpha = 0.01)

Arguments

drMat	dose-response matrix. the first column being dosage and second column being response. controls are included by specifying dose=0
alpha	a scalar for significance level. Only 0.01, 0.05 and 1 are allowed. alpha=1 is included for comparability issue. In this case, no outliers will be identified.

Value

indicator a vector with length nrow(drMat) specifying if a data point is outlier. Control points always have status FALSE

Author(s)

Kevin R Coombes ([e-mail]), Pan Tong ([e-mail])

See Also

NewmanTest, drModels, drFit, drFit-class

Examples

data(ryegrass, package='drc') # use the ryegrass data from drc package
drOutlier(drMat=ryegrass[, c(2, 1)], alpha=0.05)

nickytong/drexplorer documentation built on May 23, 2019, 5:08 p.m.