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Hi, I've written some C code for density evaluation of the non-central t distribution. It works with the R-1.7.1 source code if placed in the src/nmath directory and after appropriate changes are made to Makefiles, to the dt function in src/library/base/R/distn.R etc. I haven't read a lot of R source code so it may need some R-ification, but I've tried to use the dt.c file as a

Dear All, I have these data: exampledata <- c("This is one item", "This is Another One", "And so is This") I would like to find each occurence of a blank space followed by a Capital Letter and replace it by a blank space, a left curly brace, the respective Capital Letter, and then a right curly brace. I thought the following will do: gsub(pattern = "

...o det() no longer has any effect. o dev.control() now accepts "enable" as well as "inhibit". (Wishlist PR#3424) o *, - and / work more generally on "difftime" objects, which now have a diff() method. o dt(*, ncp = V) is now implemented, thanks to Claus Ekstroem. o dump() only quotes object names in the file where necessary. o eval() of a promise forces the promise o file.path() now returns an empty character vector if given at least one zero-length argument. o format() and hence print() make an effort to handle corrupt data frames, w...

...o det() no longer has any effect. o dev.control() now accepts "enable" as well as "inhibit". (Wishlist PR#3424) o *, - and / work more generally on "difftime" objects, which now have a diff() method. o dt(*, ncp = V) is now implemented, thanks to Claus Ekstroem. o dump() only quotes object names in the file where necessary. o eval() of a promise forces the promise o file.path() now returns an empty character vector if given at least one zero-length argument. o format() and hence print() make an effort to handle corrupt data frames, w...

Hi, I've made a selfStart function for use with gnls and the following piece of code works nicely: check1 <- gnls(y ~ spot.shape.fct(xcord, ycord, background, spotintensity, rho, sigma, delta, mux, muy), start=getInitial(y ~ spot.shape.fct(xcord, ycord, background, spotintensity, rho,

Greetings, I've tried to update the power.t.test function to allow for different sample sizes and sample variances in the case of a two-sample t test. I'd gladly update the corresponding help page if the code is to replace the current power.t.test function. The modified power.t.test code is included below. The changes are as follows: - Added three new arguments to the function *