GaussModel | R Documentation |
GaussModel
GaussModel(x, mu, sigma, h)
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 |
return result of selfstart
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.
ints<- c(c(1:5,5:1))
##nls(y ~ GaussModel(x, mu, sigma, h),
## data.frame(x = 1:length(ints), y = ints))
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