# SSl5: Self-Starting Nls 5 parameters logistic regression model In drLumi: Multiplex Immunoassays Data Analysis

## Description

This selfStart model evaluates the 5 parameters logistic regression model and its gradient. It has an initial attribute that will evaluate initial estimates of the parameters hAsym, lAsym, Slope, xMid and Asymetry for a given set of data Instead of the standard exp function this implementation use the 10^ function.

f(x)=lAsym +\frac{hAsym-lAsym}{(1+10^{Slope(x-xMid)})^{Asymetry}}

## Usage

 1 SSl5(x, Slope, lAsym, hAsym, xMid, Asymetry) 

## Arguments

 x a numeric vector of values at which to evaluate the model Slope is a numeric parameter representing the -slope of the function at the inflection point lAsym a numeric parameter representing the lower asymptote when x trend to -Inf hAsym a numeric parameter representing the higher asymptote when x trend to Inf xMid is the x value corresponding to the inflection point Asymetry is a numeric parameter representing the asymetry around the inflection point

## Format

A selfStart model

## Value

The value returned is a list containing the nonlinear function, the self starter function and the parameter names.

## Author(s)

John Aponte <[email protected]>

## Examples

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 # Load data data(ecdata) data(mfidata) # Select analyte FGF for plate 1 dat <- mfidata[mfidata$plate=="plate_1" & mfidata$analyte=="FGF",] sdf <- data_selection(dat, ecdata)[[1]] # SSl5 ig <- scluminex("plate_1",sdf$standard, sdf$background, lfct="SSl5", bkg="ignore", fmfi="mfi", verbose=FALSE) summary(ig) 

### Example output

  analyte          b        c        d        e        f obs   rsquare
1     FGF -0.8828771 1.306848 3.683054 1.389077 1.767844  17 0.9986956
convergence  fct
1 convergence SSl5


drLumi documentation built on May 30, 2017, 5:47 a.m.