Hi, David. Thank you for the suggestions. If it makes a difference, I've included more information on the data and how the Gompertz model was fit to each sample below. I'm sure my methods are inefficient, and I should utilizing R's process of vectorization. Thanks, again.
--Trey David Winsemius wrote > > If you supply some data, possibly generated through simulations, you can > test for differences in fit using parametric fits. > The data come from two assemblages of skeletons (each from a different cemetery), a type of dataset common for anthropologists/archaeologists. The model was fit to counts of skeletons assigned to one of four age-range categories (based on observed skeletal morphology). For example: pop1 <- structure(c(15,20,35,50,20,35,50,Inf,50,166,88,24),.Dim=as.integer(c(4,3)),.Dimnames=list(NULL,c("age.start","age.end","dead"))) ## age-structure of the cemetery pop1_Gomp <- function(x,deaths=pop1) { a3=x[1] b3=x[2] shift<-15 nrow<-NROW(deaths) S.t<-function(t) { return(exp(a3/b3*(1-exp(b3*(t-shift))))) } d<-S.t(deaths[1:nrow,1])-S.t(deaths[1:nrow,2]) obs<-deaths[,3] lnlk<-as.numeric(crossprod(obs,log(d))) return(lnlk) } optim(c(0.01, 0.01),pop1_Gomp,control=list(fnscale=-1)) ## output... $par [1] 0.03286343 0.04271132 $value [1] -386.2922 $counts function gradient 129 NA $convergence [1] 0 $message NULL ################## In the original message, "pop2," representing a separate cemetery, had the following age structure: pop2 <- structure(c(15,20,35,50,20,35,50,Inf,46,310,188,101),.Dim=as.integer(c(4,3)),.Dimnames=list(NULL,c("age.start","age.end","dead"))) ...and the Gompertz parameters estimated using the function: pop2_Gomp <- function(x,deaths=pop2) { a3=x[1] b3=x[2] shift<-15 nrow<-NROW(deaths) S.t<-function(t) { return(exp(a3/b3*(1-exp(b3*(t-shift))))) } d<-S.t(deaths[1:nrow,1])-S.t(deaths[1:nrow,2]) obs<-deaths[,3] lnlk<-as.numeric(crossprod(obs,log(d))) return(lnlk) } optim(c(0.01, 0.01),pop2_Gomp,control=list(fnscale=-1)) ####################### $par [1] 0.02207778 0.04580059 $value [1] -781.7549 $counts function gradient 71 NA $convergence [1] 0 $message NULL ----- Trey Batey---Anthropology Instructor Division of Social Sciences Mt. Hood Community College Gresham, OR 97030 Alt. Email: trey.batey[at]mhcc[dot]edu -- View this message in context: http://r.789695.n4.nabble.com/significant-difference-between-Gompertz-hazard-parameters-tp4635018p4635736.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.