fitlinear {LW1949} | R Documentation |
Determine Linear Regression Coefficients from Dose-Effect Data
Description
Determine coefficients (intercept and slope) from dose-effect data using simple linear regression on the log10 dose vs. probit effect scale.
Usage
fitlinear(DEdata, constr = c(5e-04, 0.9995))
Arguments
DEdata |
A data frame of dose-effect data (typically, the output from
|
constr |
A numeric vector of length two, indicating the constraints
(see |
Value
A numeric vector of length two, the estimated intercept and slope.
References
Litchfield, JT Jr. and F Wilcoxon. 1949. A simplified method of evaluating dose-effect experiments. Journal of Pharmacology and Experimental Therapeutics 96(2):99-113. [link].
Examples
conc <- c(0.0625, 0.125, 0.25, 0.5, 1)
numtested <- rep(8, 5)
nalive <- c(1, 4, 4, 7, 8)
mydat <- dataprep(dose=conc, ntot=numtested, nfx=nalive)
fitlinear(mydat)