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Full_Name: Paul Bailey Version: 2.1.1 OS: OS X 10.3 Submission from: (NULL) (68.252.250.144) ?cor [tells me that it has a na.rm variable] > cor(frame2[1,],frame2[2,],na.rm=T) Error in cor(frame2[1, ], frame2[2, ], na.rm = T) : unused argument(s) (na.rm ...) hmm.

I'm working with a large object that I want to modify slightly in a function. Pass-by-reference would make a lot of sense, but I don't know how to do it. I've searched this archive and thought that I can do something like f <- function(x) { v1 <- list(a=x,b=3) g(x) v1 } g <- function(x) { frame <- parent.frame() assign("v1",list(a=x,b=x),frame) } f(4)

When I type an open paren the (otherwise absolutely wonderful) help dialog at the bottom crashes R. For example > polygon(c( [all is well > polygon(c(( 2005-05-27 14:13:14.843 R[478] *** -[NSCFDate characterAtIndex:]: selector not recognized 2005-05-27 14:13:14.881 R[478] *** NSTimer discarding exception 'NSInvalidArgumentException' (reason '*** -[NSCFDate characterAtIndex:]:

I'm getting the following form R CMD CHECK mypackage ----------- * checking Rd files ... WARNING Error in Rd[[which]] : subscript out of bounds problem found in ?myfunction.Rd? --------- This is... not the most helpful error. I'd be happy to make a minimal .Rd example file if someone can point me to what a minimal .Rd file has in it. The file is already pretty minimal, so it's

Hi, I'm trying to make a new S4 object with a slot for a "link-glm" object. R doesn't like me have a slot of class "link-glm" > class(make.link("probit")) [1] "link-glm" > setClass("a",representation(item="link-glm")) [1] "a" Warning message: undefined slot classes in definition of "a": item(class

I'm having a problem with aggregate.formula when I call it in a function and the function is converted from a string in the funtion I think my problem may also only occur when the left hand side of the formula is cbind(...) Here is example code that generates a dataset and then the error. The first function "agg2" fails > agg2(FALSE) do agg 2 Error in m[[2L]][[2L]] : object

I have data set that I wish to solve with the Matrix package's sparse matrix functionality. The speed improvements that it has achieved are amazing, with my dense matrix solutions never taking really long enough to time in what I've been able to time so far. However, before I can solve my full linear model, I need to be able to read in all the data, and therein lies the rub.

The tone of your email makes it look like you think the exact output of cat and print in these instances is irrelevant and not worth thinking about and that the documentation is `close enough,' or up to the (perhaps implied) R documentation standard. This is a reasonable stance. If you hold it, please just circular file my bug report as irrelevant and let's not waste any more time on it.