Hi, Your reproducible example isn't reproducible for me, as I get an error message.
But regardless, the easiest thing to do is write your own wrapper, something like: mycenfit <- function(x, y) { result <- cenfit(x, y) c(result, sum = result$n * result$mean) } No need to change anything in the package itself. Incidentally, using attach() is generally a really bad idea. with() is much safer. Sarah On Thu, Nov 15, 2012 at 7:00 AM, maxbre <mbres...@arpa.veneto.it> wrote: > I want to get access to the code of an S4 method in order to possibly modify > a function to accomplish my particular needs: in my case the function in is > cenfit() from the package NADA > > Now, given my reproducible example: > > my.ex<-structure(list(TEC = c(0.21, 0.077, 0.06, 0.033, 0.014, 0.0072), LR = > c(0L, 0L, 1L, 0L, 1L, 0L)), .Names = c("TEC", "LR"), class = "data.frame", > row.names = c(NA, -6L)) > > and the following few lines of code: > > library(“NADA) > > attach(my.ex) > > cenfit(TEC,LR) > > giving this output: > > n n.cen median mean sd > 6.00 2.00 0.033 0.058 0.083 > > I would like to add one more result to the above, namely “sum”, very simply > computed as the product of “n” times “mean” > > Do you think that is possible or convenient? > > I’ve been reading that editing a S4 methods needs particular attention as by > using showMethods("cenfit") and then getMethod("cenfit"); in fact, I’ve been > trying that but without much success (i.e. understanding of the cumbersome > output) > > can anyone give me some help on how is probably better to proceed in order > to get my new result? > > different alternative solutions or hints or advices are also more than > welcomed > (I’m pretty new on R and specially on the field of function handling and > customizing) > > all the best > > max > > > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.