drOutlier: Identifying outliers for dose-response data

In lshen1/drexplorer2: Dose-response Explorer2

Description

Identifying outliers for dose-response data

Usage

drOutlier(drMat, alpha = 0.01)

Arguments

drMat	dose-response matrix. The first column being dosage and the 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

Examples

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

lshen1/drexplorer2 documentation built on June 2, 2020, 9:27 p.m.