Re: [R] multiple peak fit

ct: Re: [R] multiple peak fit Petr, You could use nonlinear regression to fit two Guassian peaks. For example, fit <- nls(sig ~ d + a1*exp(-0.5*((time-c1)/b1)^2) + a2*exp(-0.5*((time-c2)/b2)^2), start=list(a1=15, b1=20, c1=315, a2=4, b2=50, c2=465, d=1.5), data=temp) plot(temp

Re: [R] multiple peak fit

Petr, You could use nonlinear regression to fit two Guassian peaks. For example, fit <- nls(sig ~ d + a1*exp(-0.5*((time-c1)/b1)^2) + a2*exp(-0.5*((time-c2)/b2)^2), start=list(a1=15, b1=20, c1=315, a2=4, b2=50, c2=465, d=1.5), data=temp) plot(temp, type="l") lines(temp$time, predict(fit), lty=2

[R] multiple peak fit

Hi I went through some extensive search to find suitable method (package, function) to fit multiple peaks. The best I found is ALS package but it requires rather complicated input structure probably resulting from GC-MS experimental data and seems to be an overkill to my problem. I have basica