GaussModel: GaussModel

GaussModelR Documentation

GaussModel

Description

GaussModel

Usage

GaussModel(x, mu, sigma, h)

Arguments

x

a numeric vector of values at which to evaluate the model

mu

mean of the distribution function

sigma

standard deviation of the distribution fuction

h

height of the distribution function

Value

return result of selfstart

References

Smith, C.A., Want, E.J., O'Maille, G., Abagyan,R., Siuzdak, G. (2006). "XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching and identification." Analytical Chemistry, 78, 779-787.

Examples

ints<- c(c(1:5,5:1))
##nls(y ~ GaussModel(x, mu, sigma, h), 
##                   data.frame(x = 1:length(ints), y = ints))

xia-lab/OptiLCMS documentation built on Nov. 26, 2024, 3:50 a.m.