Christophe LOOTS <Christophe.Loots <at> ifremer.fr> writes: > > Thank you so much for your help. > > The function "dbinom" seems to work very well. > > However, I'm a bit lost with the "dnorm" function. > > Apparently, I have to compute the mean "mu" and the standard deviation > "sd" but what does it mean exactly? I only have a vector of predicted > response and a vector of observed response that I would like to compare! > > What are "mu" and "sigma". >
mu is the mean (which you might as well set to the predicted value). sd is the standard deviation; in order to calculate the likelihood in this case, you'll need an *independent* estimate (from somewhere) of the standard deviation. Without thinking about it too carefully I think you could probably get this from sqrt(sum((predicted-observed)^2)/(n-1)) .... > Thanks again. > Christophe > ______________________________________________ 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.