doPsyFit: Applies a nonlinear regression on a specific dataset.

In VinLaflamme/nlregVL: Non-linear fits for psychometric functions

Description

Applies a nonlinear regression on a specific dataset.

Usage

doPsyFit(xx, pp, type = "CG", getPred, residFun, fnJacob, fnStart, control)

Arguments

xx	quantity on the x axis (e.g. duration). Must be a vector of numerics
pp	quantity on the y axis (e.g. proportion of long responses). Must be a vector of numerics AND of the same length as xx.
type	string expliciting which of three available fitting functions will be used. "CG" for cumulative Gaussian, "LN" for lognormal and "PL" for pseudologistic.
getPred	Function that returns the predicted value.
residFun	Function that returns the residuals.
fnJacob	Function that returns the jacobian of the function to be fitted.
fnStart	Function that returns the starting parameters.
control	a control list for the non linear regression. See nls.lm.control

Value

a psyFitted-class object containing the fitted data.

Examples

data("exampleData",package="nlregVL.R")
setkey(exampleData,Sub)
xx<-exampleData[J("TP01")][,Duration]
nbb1<-exampleData[J("TP01"),Nb1]
nbb3<-exampleData[J("TP01"),Nb3]
pp<-nbb3/(nbb1+nbb3)
result<-nlregVL::doPsyFit(xx = xx,pp = pp)

VinLaflamme/nlregVL documentation built on May 30, 2019, 2:04 a.m.