computeIC: This function uses rootfinding with fitted curve to compute...

In lshen1/drexplorer2: Dose-response Explorer2

Description

This function uses rootfinding with fitted curve to compute IC values.

Usage

computeIC(
  drFit,
  percent = 0.5,
  log.d = TRUE,
  interpolation = TRUE,
  stepLen = NA,
  lower,
  upper,
  ...
)

Arguments

drFit	A drFit object as returned by drFit() function.
percent	the inhibition ratio to be searched against. A vector between 0 and 1. Corresponding response is 1 - percent
log.d	whether to return log10(dose) or the raw dose. Default is set to TRUE.
interpolation	whether to use interpolation to estimate IC values. In this case, the computed IC values will be bound by the observed dosages.
stepLen	step length to construct equally spaced intervals during interpolation. Only used when interpolation = TRUE.
lower	lower bound in root search. Default is min(c(0, min(dose))) where dose is the observed dose levels from drFit@originalDat.
upper	upper bound in root search. Default is max(dose)*1e6 where dose is the observed dose levels from drFit@originalDat.
...	other optimization parameters to be passed to uniroot().

Value

A named vector giving the IC values at specified percentiles.

Author(s)

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

See Also

NewmanTest, drOutlier, drModels, drFit

Examples

data(ryegrass, package = 'drc') # use the ryegrass data from drc package
fit.sigEmax <- drFit(drMat=ryegrass[, c(2, 1)], modelName = "sigEmax", alpha = 0.01, fitCtr = FALSE)
computeIC(fit.sigEmax, percent = seq(0, 1, by = 0.1), log.d = FALSE)	

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