I have a peak I would like to fit with a gaussian distribution, and am having difficulties. First of all I am having difficulties getting R to except my function input, and additionally I am having trouble plotting the non linear model on my scatterplot of data (the peak). Here is my log:
> small <- > c(507680,507670,508832,510184,511272,513380,515828,519160,525046,534046,547982,567124,590208,614506,637876,656846,669054,672976,668800,656070,637136,614342,590970,570752,554480,542882,535630,531276,528682,527682,527020,526834,526802,526860) > plot(small) > mean(small) [1] 563996.7 > sd(small) [1] 55996.21 > x <-c(0:35) > x <-as.numeric(x) > f <- ((1/(55996.21)*sqrt(2*pi)))*exp^(-((x-563996.7)^2)/(2*(55996.21^2))) Error in exp^(-((x - 563996.7)^2)/(2 * (55996.21^2))) : non-numeric argument to binary operator >From this point, to fit a non-linear model so I type nlm(f,507680)? I have >tried reading up on this and looking for additional information on the >internet but I am truly stuck. Thank you in advance! Samantha ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
