gtoxFit: Fit the data with the constant, hill, and gain-loss models
In GladiaTOX: R Package for Processing High Content Screening data

Description Usage Arguments Details Value See Also Examples

gtoxFit fits the constant, hill, and gain-loss models to the given data and returns some summary statistics and the fit parameters in a list.

1	gtoxFit(logc, resp, bmad, force.fit = FALSE, ...)

`logc`	Numeric, log concentration values
`resp`	Numeric, normalized response values
`bmad`	Numeric, the baseline median absolute deviation for the entire assay
`force.fit`	Logical, TRUE indicates to attempt fitting every concentration series
`...`	Any other data to be included in list output.

By default, gtoxFit will only attempt to fit concentration series when at least one median value is greater than 3*bmad.

List of summary values and fit parameters for the given data.

gtoxObjCnst, gtoxObjHill, gtoxObjGnls, constrOptim

logc <- 1:10
resp <- sapply(1:10, gtoxHillVal, ga = 5, tp = 50, gw = 0.5)
params <- gtoxFit(logc = logc, resp = resp, bmad = 10)
plot(resp ~ logc)
gtoxAddModel(pars = params, modl = "hill")