Dear Xiaohui, Thanks.
> The scale of log-likelihood depends on the number of your data samples Can you explain what do you mean by this? For example if I have 10 data points. Should I use "scale=10" ? And how about "shape" parameters. What's the rule to choose its value? Hope to hear from you again. Regards, Edward > > Edward Wijaya 写道: >> >> Dear all, >> >> How can I compute the log likelihood of a gamma >> distributions of a vector. >> >> I tried the following. But it doesn't seem to work: >> >> samples<-c(6.1, 2.2, 14.9, 9.9, 24.6, 13.2) >> llgm <- dgamma(samples, scale=1, shape=2, log = TRUE) >> >> It gives >> >> [1] -4.291711 -1.411543 -12.198639 -7.607465 -21.397254 -10.619783 >> >> I expect it only returns "one" value instead of vector. >> What's wrong with my command above? >> >> - Edward >> >> ______________________________________________ >> 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. >> >> > > ______________________________________________ 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.