similar to: Getting the argument list within a function

For a long time I've wanted a way to conveniently extract multiple elements from a list, which [[ doesn't allow. Can anyone suggest an efficient function to do this? Wouldn't it be a sensible addition to R? For example, alist <- list() alist[[1]] <- list() alist[[1]]$name <- "first" alist[[1]]$vec <- 1:4 alist[[2]] <- list() alist[[2]]$name <-

I'm trying to build a recursive set of functions that take a set of arguments, change some of the arguments and recursively call the same (or different) function. For example here's a stupid recursive counting function that prints back all integers from x to 0 (and ignores arguments y and z) cnt <- function(x, y, z) { stopifnot(is.numeric(x)) print (x) recursionFUN <-

There are a few version of apply() (e.g., lapply(), sapply()). I'm wondering if there is one that does not return anything but just silently apply a function to the list argument. For example, the plot function is applied to each element in 'alist'. It is redundant to return anything from apply. apply(alist,function(x){ plot each element of alist})

Are the functions 'R_Unserialize' and 'R_InitFileInPStream' allowed to be used in R packages? I guess I'm just not clear on the implications of this comment in 'Rinternals.h': /* The connection interface is not yet available to packages. To allow limited use of connection pointers this defines the opaque pointer type. */ I have a function in the

Dear list, I have the following function, sugar = function(fun, id = "id"){ ff <- formals(fun) if( id %in% names(ff)) stop("id is part of args(fun)") formals(fun) <- c(unlist(ff), alist(id=)) fun } which one may use on a function foo, foo = function(x){ x } sugar(foo) # results in the extended closure, function (x, id) { x } Its limitation (other

cut.Date and cut.POSIXt indicate that the breaks argument can be an integer followed by a space followed by "year", etc. but it seems the integer is ignored. For example, I assume that breaks = "3 months" is supposed to cut it into quarters but, in fact, it cuts it into months as if 3 had not been there. > d <- seq(Sys.Date(), length = 12, by = "month") >

Hi All, I try to do a scatterplot for a bunch of variables. I plot a dependent variable against a bunch of independent variables: -- cut -- graphics::plot( v01_r01 ~ v08_01_up11, data = dataset, xlab = "Dependent", ylab = "Independent #1" ) -- cut -- It is tedious to repeat the statement for all independent variables. Found an alternative, i.e. : -- cut -- mu

With 0.63.3, try test <- function(){ fn <- function(a) print("hello") print(is.function(fn)) print(names(formals("fn")))} test() if fn is not quoted in the last line of test, it works properly. test <- function(){ fn <- function() print("hello") formals(fn) <- alist(a=,b=) return(fn)} formals(test()) now try with line 3 of test changed to

I need to get the names of the list elements when I iterate over a list. I'm wondering how to do so? alist=list(a=c(1,3),b=c(-1,3),c=c(-2,1)) sapply(alist,function(x){ #need to use the name of x for some subsequent process })

Since compiling R 2.5.0 from source on my Mac (PowerBook) I've noticed some strange behavior when plotting. I'm not sure if it's a problem with my setup/compilation because I feel like a problem as basic as this one would have been reported already. I'm running R with X11 and R was built with gcc 4.0.1. Basically, I run > plot(0, 0) > dev.off() X11 4 Warning message:

I have written a function to plot data which will be used for various different chemistries. A simplified version is: plot_data <- function(risk,levels,chem,sd2,measure){ plot(risk, levels,main=paste ("per", sd2, measure, "\n in usual", chem)) } The problem is with the title. This works fine if the variable "chem" is just text, but if it is an expression then

I've noticed a change in the way grep() behaves between the 1.9.0 release and a recent R-patched. On 1.9.0 I get the following output: > x <- dget(file = url("http://www.biostat.jhsph.edu/~rpeng/names.R")) > length(grep("^l\\w+tmean", x, perl = TRUE, value = TRUE)) [1] 84 And on R-patched (2004-06-11) I get > x <- dget(file =

I have modified the parameters for a function (for my own use) in the stats package, but I assume I need to update the parameter set in another file as I'm getting the following error when I run R: The compile works fine so I assume there is a configuration file in the base package of R that needs modification. Error in parse(file, n, text, prompt) : syntax error on line 11102 Error:

I was sitting in the coffee room at work listening to people complain about a recent seminar about nanotechnology using the terms nanofluidics, nanofactory, nano-this, and nano-that ... I found myself thinking "well the speaker should just have said with(nano, ...) Un(?)fortunately there's no-one here I can share that thought with. -- 620B Bartram Hall

All, Does anyone know if there is an option I can set to turn screen-buffered output on and off with the win32 rgui? (Apart from the point and click method). I am running some simulations where it is useful to watch output but it gets mildly tiresome having to manually switch things on and off via the gui. Thanks Toby. > version _ platform i386-pc-mingw32 arch

? Sat, 17 Feb 2024 11:15:43 -0700 "Reed A. Cartwright" <racartwright at gmail.com> ?????: > I'm wrapping a function in R and I want to record all the arguments > passed to it, including default values and missing values. This is hard if not impossible to implement for the general case because the default arguments are evaluated in the environment of the function as it

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, how can I automatically access the functions that I loaded into a separate environment? > save(A,B,file="myfun.r") > load("myfun.r",envir=(ENV<-new.env())) > ls(ENV) [1] "A" "B" ?"[" turned up that I can access the functions via > ENV$A function () { } > ENV$A() NULL Now, how

Could anyone advise me how to allocate 1.5Gbyte memory for R on a Dell laptop running XP professional with 2G memory? I have tried "C:\Program Files\R\rw1081\bin\Rgui.exe" --max-vsize=1400M but I only get only 500MB for R actually. I also tried memory.limit(2^30) in R and got error of: Error in memory.size(size) : cannot decrease memory limit Yi-Xiong

Hi, I currently following some introductory material "Data mining with R", which was highly reccommended to me (its really great!). During my studies I tried to run a given function to identify and substitute unknown values. Seemingly, running this function (page 57) did not work and gives me an error message. It would be very easy just to copy and paste this function to ask for

Please point me to the documentation explaining why some of the functions returned by calling methods() are marked as "non-visible" and whether there is indeed no way of viewing the R code of such functions thanks Steve _________________________________________________________________