similar to: Writing packages with `methods' package

Hello, I have defined a new class > setClass("myclass", representation(min = "numeric", max = "numeric")) and want to write accessor functions, so that for > foo = new("myclass", min = 0, max = 1) > min(foo) # prints 0 > max(foo) # prints 1 At first i created a generic function for "min" > setGeneric("min",

For documentation we use a system that generates Rd files from special comments in the code. (inlinedocs). It is crucial to be able to get the defining source code for objects like methods to extract the comments from it. Here is an R session that shows how this works for several kinds of methods and (at the end of the session) how if fails for methods of "initialize" >

Has anyone tried to build r-devel on a RedHat 7.1 with the gcc 3.1.1 compiler? I didn't have problems with gcc 2.95.x or gcc 3.0.4, but when I ran the configure with gcc 3.1.1 I got the following error: [...] checking whether gcc accepts -M for generating dependencies... yes checking whether gcc supports -c -o FILE.lo... yes checking how to get verbose linking output from g77... -v checking

Hi- I used to use "<<-" to do assignment inside a class method, and just found that now it is broken in R 2.0. For example, the following code ----------------------------------------------------------------------- setClass( "myclass", representation(x="numeric") ) setGeneric("incrXByOne", function(obj) standardGeneric("incrXByOne"))

I noticed this oddity about [ and setMethod. First, I define testFunc, which sorts a data frame by the first column and returns the entries that aren't NAs, and testIt, which runs testFunc repeatedly on a random large data frame, each time saving the return into a dummy placeholder (for demonstration's sake). > require(methods) Loading required package: methods [1] TRUE > testFunc

I noticed this oddity about [ and setMethod. First, I define testFunc, which sorts a data frame by the first column and returns the entries that aren't NAs, and testIt, which runs testFunc repeatedly on a random large data frame, each time saving the return into a dummy placeholder (for demonstration's sake). > require(methods) Loading required package: methods [1] TRUE > testFunc

I do lots of analyses on large microarray data sets so memory use and speed and both important issues for me. I have been trying to estimate the overheads associated with using formal S4 data objects instead of ordinary lists for large data objects. In some simple experiments (using R 1.7.1 in Windows 2000) with large but simple objects it seems that giving a data object a formal class

In the current R-devel sources, the `pgamma' function gives a warning when the `shape' argument is passed as a vector of length > 1. That is, > pgamma(3, 1) [1] 0.950213 > pgamma(3, c(1, 2)) [1] 0.9502129 0.8008517 Warning message: the condition has length > 1 and only the first element will be used in: if (shape <= 0) stop("shape must be strictly positive")

Does the function 'matmult' still exist in R? It has a help page and is referenced in the help page for 'kronecker', but I can't seem to access the function itself. Obviously, not an issue of great concern but just a curiosity. > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status

Hello everyone, I'm working on a package using S4 classes and methods and I ran into the following "problem" when I tried to create an "apply" method for objects of one of my new classes. I've found a way around the problem but I wonder if I did not paint myself into the corner. I'd like your opinion about that. So I have an object "myObj" of class

I ran into a problem trying to make a plot from a file that's read using source. Basically, I have the following code in a file "plot.R" : library(nlme) data(Loblolly) fm1 <- nlme(height ~ SSasymp(age, Asym, R0, lrc), data = Loblolly, fixed = Asym + R0 + lrc ~ 1, random = Asym ~ 1, start = c(Asym = 103, R0 = -8.5, lrc = -3.3))

Hi all, I'm trying to implement the matrix multiplication operator, which is S4 generic, for an old-style S3 class. The following works as expected: x <- 1:10 class(x) <- "myClass" setOldClass("myClass") setGeneric("myMethod", function(x, y) standardGeneric("myMethod")) setMethod("myMethod", c("myClass", "myClass"),

Hi, I'm developing in S4 and I wanted to see the methods for a specific class using showMethods but I didn't succed. Can someone help ? See the example below. setClass("myclass", representation( name ="character" ) ) setGeneric("mymeth", function(obj, ...){ standardGeneric("mymeth") } ) setMethod("mymeth",

Dear list, I'm wondering if the following error I'm getting is a small bug in the Reference Class paradigm or if it makes perfect sense. When you write an explicit initialize method for a Ref Class, can you then make use of '.self' WITHIN this initialize method just as you would once an object of the class has actually been initialized? Because it seems to me that you can not.

Dear list: I would like to override the default way R formats plot axes with a custom method(s). Obviously I would prefer to define it as general as possible avoiding writing a custom method for each individual class where possible. The plot.default method (and I assume other methods as well) calls Axis(...) to produce the axis layout depending on data. In this sense it seems reasonable to

Hello!! At first thank you all for your suggestions and your help. But I would like to get another group of datas from the density estimation. I don't know if these information are provided by locfit or I should use an other function like plot(). Description: Each number between 1 and 100 (only integer) for example should have only one density value. But I also would like to have the density

Hi R-Help, Please consider the following simple case: I have a class like setClass("myClass", representation(x="matrix", y="character")) and I would like to use the method *"["* for a *myClass* objects (but changing the default *drop* argument from TRUE to FALSE): setMethod("[","myClass", function(x,i,j,...,drop=FALSE)

Quick question about installing packages on a system where you do not have root access. Suppose a person is using R on a shared system where he cannot write to the installation directory (i.e. /usr/local/lib/R). What general advice would you give regarding where to install packages from CRAN. Should he use the R_LIBS environment variable or maybe .libPaths() in R or .Renviron? Thanks, -roger

I was looking for an R function to turn a matrix into a LaTeX table; did an R site search using Jon Barron's machine and turned up the latex() function in the Hmisc package. But the Hmisc package is an Splus package, and appears not to be available for R --- there is no hint of it in the list of contributed packages on CRAN. I had a look at the Hmisc package (via statlib) and there was no

Hi R-helper! I have problem with setMethods for "[". Here is example : setClass("myClass", representation(ID.r = "numeric", ID.c = "character", DAT = "matrix")) to.myClass <- function(ID.r, ID.c, DAT) {     out <- new("myClass", ID.r = ID.r, ID.c = ID.c, DAT = DAT)     return(out)       }       setMethod("[",