Varun, If you type dbeta at the command line you get the R source, which in this case tells you that the code is calling a compiled source. This is indicated by the line <bytecode: 0x7fc3bb1b84e0>
See the following. > dbeta function (x, shape1, shape2, ncp = 0, log = FALSE) { if (missing(ncp)) .Call(C_dbeta, x, shape1, shape2, log) else .Call(C_dnbeta, x, shape1, shape2, ncp, log) } <bytecode: 0x7fc3bb1b84e0> <environment: namespace:stats> Compiled code in a package If you want to view compiled code in a package, you will need to download/unpack the package source. The installed binaries are not sufficient. A package's source code is available from the same CRAN (or CRAN compatible) repository that the package was originally installed from. The download.packages() function can get the package source for you. Extracted from http://stackoverflow.com/questions/19226816/how-can-i-view-the-source-code-for-a-function Mark R. Mark Sharp, Ph.D. msh...@txbiomed.org > On Jun 7, 2015, at 4:31 AM, Varun Sinha <sinha.varun...@gmail.com> wrote: > > Hi, > > I am trying to find the source code for dbeta function. > > I tried edit(dbeta) and this is what I got: >> edit(dbeta) > function (x, shape1, shape2, ncp = 0, log = FALSE) > { > if (missing(ncp)) > .Call(C_dbeta, x, shape1, shape2, log) > else .Call(C_dnbeta, x, shape1, shape2, ncp, log) > } > <environment: namespace:stats> > > It looks like it is calling calling C_dbeta, but I'm not sure. If it does, > how do I find it's source code? > > Thank you! > Varun > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.