similar to: dealing with empty actual arguments matched by '...' formals

I am running the nnet package as > neural.soft<-nnet(custcat~region+ed+marital+tenure+age+address+income,size=3,softmax=TRUE) This returns the error message : formal argument "softmax" matched by multiple actual arguments Here the dependent variable "custcat" is a factor with 4-levels. This error does not crop up for any other arguments of nnet(), including

Hi, very sporadic and non-reproducible, I get the following type of errors: Error in get(name, envir = envir) : formal argument "envir" matched by multiple actual arguments Error in exists(cacheName, envir = envir, inherit = FALSE) : formal argument "envir" matched by multiple actual arguments Error in paste(..., sep = sep) : formal argument "sep" matched by

Hi, I'm using the add-on package "sound".I have the following > q<-loadSample("a.wav") > plot.Sample(q,axes=FALSE) this gives me the error. Error in plot.default(sound(s)[1, ], type = "l", col = "red", ylim = c(-1, : formal argument "axes" matched by multiple actual arguments I'm guessing the package has some predefined

Hi list, This looks similar to the problem reported here https://stat.ethz.ch/pipermail/r-devel/2006-April/037199.html by Henrik Bengtsson a long time ago. It is very sporadic and non-reproducible. Henrik, do you remember if your code was using reg.finalizer()? I tend to suspect it but I'm not sure. I've been hunting this bug for months but today, and we the help of other Bioconductor

When I run R CMD check R.oo on R v2.7.0 devel (2008-03-04 r44677) on WinXP I get the following error while testing examples: Error in match(x, table, nomatch = 0) : formal argument "nomatch" matched by multiple actual arguments Calls: setMethodS3 -> setMethodS3.default -> %in% -> match Execution halted How is that even possible with: > get("%in%") function (x,

Hi everyone I've been playing with do.call() but I'm having problems understanding it. I have a list of "n" elements, each one of which is "d" dimensional [actually an n-by-n-by ... by-n array]. Neither n nor d is known in advance. I want to bind the elements together in a higher-dimensional array. Toy example follows with d=n=3. f <-

Tony, I don't understand what you mean. Could you give an example? > -----Original Message----- > From: Tony Plate [mailto:tplate at blackmesacapital.com] > > ... I'm not saying "never write functions that use ...", > >I'm just saying "never write functions that depend on a particular > >argument being passed via ...". > > Several

Consider the following example: # substitute a with b in the indicated function. Seems to work. > z <- substitute( function()a+1, list(a=quote(b)) ) > z function() b + 1 # z is an object of class call so use eval # to turn it into an object of class expression; however, # when z is evaluated, the variable a returns. > eval(z) function()a+1 Why did a suddenly reappear again

Thank you for the reference to Knuth. Indeed in vol. 2 he has a > -----Original Message----- > From: Tony Plate [mailto:tplate@blackmesacapital.com] > Sent: Friday, September 24, 2004 8:05 AM > To: Vadim Ogranovich > Subject: Re: [Rd] algorithm reference for sample() > > Have you tried looking in Knuth's books on computer > algorithms? (They are classics for good

Just for fun (and actually because I would use it too) I wrote a version of the "paste" menu command that assumes the clipboard contains a transcript, and just pastes the commands from it into the R console window (Windows GUI only). So, if something like this: > foo <- + 33 > foo * 3 [1] 99 > foo [1] 33 is on the clipboard, then the "paste commands" menu

I was trying to create a function with a value computed at creation time, using substitute(), but I got results I don't understand: > this.is.R Error: Object "this.is.R" not found > substitute(this.is.R <- function() X, list(X=!is.null(options("CRAN")[[1]]))) this.is.R <- function() TRUE > # the above expression as printed is what I want for the

Does anyone have something like tapply that is extremely fast for matrices when there is a very large number of levels of the grouping variable? I'm referring to, for example, tapply(x, grouping.variable, function.operating.on.submatrix) where x is a matrix and the submatrix is a subset of the rows of x. The grouping variable's length equals the number of rows of x. -- Frank E

I'm trying to create a language structure that is a call to a function with a number of arguments that is only known at run time. I do this by using repeated indices to expand out a call with a single argument. However, when I change one of the arguments, all are changed. I don't see the same behavior when I initially create a call with multiple arguments. Even more strangely,

Dear list, I'm facing an issue with the automated documentation of a function using roxygen2. The function has a complex-valued default argument, which is picked up by roxygen2 using formals() to generate the corresponding Usage section of the Rd file. Unfortunately, it appears that formals() reformats complex numbers. Consider the example below, test <- function(a = 1+2i){} >

Tony Plate wrote: > ligges@statistik.uni-dortmund.de wrote: > >> tplate@blackmesacapital.com wrote: >> >> >>> I've noticed that seek(con, 0, "end", rw="r") on a file connection >>> does not always work correctly after a write (R 2.1.0 on Windows). >>> >>> [Is a call to fflush() needed inside file_seek() in

Hi, I am trying to create a BioMoby client in R using SSOAP. BioMoby is a normal SOAP web service, with request and response messages wrapped in BioMoby XML dialect. Since the particular WSDL I am having problems with is autogenerated and used similarly by *many* services, it would be quite important to a) fix SSOAP or b) fix the WSDL generator. I am a bit lost how to continue debugging

I would like to reference array dimensions by name in an apply and a summary function. For example: apply(x, "workers", sum) Is there a better way to do this than creating a new attribute for the array and then creating new methods for apply and summary? I don't want to name the individual elements of each dimension (such as with dimnames) but rather name the dimensions. Thanks

Hello, I have a function that creates an expression object with some variables substituted e.g foo <- function(s){ expression({ v <- s print(v) }) } Thus foo returns an expression, however the expression has the symbol 's' contained within it and thus returns an error when eval'd e.g x <- foo(10) eval(x) Error in eval(expr, envir, enclos) : object 's'

It appears that the maximum number of connections available in R is about 48. Can anyone tell me how to bump this number up? I've been perusing the source, but any info would speed things up. Is there a reason that it was set to such a low number? Thanks for any help. -Frank

Dear list, I can not understand why the expression in the subject does not work correct: > dcrn[which(fn == inve[2])] numeric(0) > inve[2] [1] 406.7 > dcrn[which(fn == 406.7)] [1] 1.3994e-07 1.3988e-07 1.3953e-07 1.3966e-07 1.3953e-07 1.3968e-07 Is this a kick self problem or an bug? Thaks very much Thomas