similar to: "R CMD INSTALL in R 2.5.1 (2007-06-27)"

Dear R, I have made a package 'myfuncs' of some home made functions and installed it without problems. It contains no C or fortran code and no dynamic link library. Is there a way to edit this package directly from R (or Xemacs with ESS) or do I always have to edit the source and then reinstall the package? I have a weak memory that such editing could be done in S-Plus 2000 or 6.1?

Hi! I'm writing down the methods that I used to migrate from Splus to R and expand a bit the R docs for this subject. Prior to send these notes to the FAQ curator I would like to make sure on the following: Given an ascii text file with several functions (i.e., myfuncs.txt), is there any equivalent to load(), so that the functions become usable in R? Or is it necessary to install it as a

Dear list members, I've run into a problem with R CMD INSTALL under Windows Vista and R 2.8.0: --------- snip ----------- C:\Users\John Fox\workspace>c:\R\R-2.8.0\bin\R CMD INSTALL car installing to '' ---------- Making package car ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata installing R files installing inst files installing

Hello all, I am fairly new to R and I have created a function that I use quit frequently. I was wondering if there is away to save this function in an existing library so I can call it by using the function name once the library is loaded? Thanks, Doug -- --------------------------------- Douglas M. Hultstrand, MS Senior Hydrometeorologist Metstat, Inc. Windsor, Colorado voice:

I am faced with a situation wherein I have to use multiple lapply's. The pseudo-code could be approximated to something as below: For each X from i=1 to n For each Y based on j=1 to m For each F from 1 to f Do some calculation based on Fij Store Xi,Yj = Fij End For F End for Y End for X Is there anyway to optimize the processing logic further? I *guess* using the multiple lapply

Hi, I am pretty new to R, so I apologize for the obvious question. I have worked with R for a few months now and in the process have written several functions that I frequently use in various data analysis projects. I tend to give each project a directory of its own and set the working directory to that. Since there are several tasks that need to be accomplished in many of my projects, I

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120",

Dear all, I'm having a problem with debugger() in both R 2.8.0 and R 2.12.0. Probably also versions in-between. I don't see it logged in the bug database, but it's hard for me to imagine that no-one else has encountered it. So my question is whether it's a known problem with a workaround, or do I log it as a new problem? The situation is that if I use

Can someone help me with this simple example? sq <- function() { y <- x^2 y } myfunc <- function() { x <- 10 sq() } myfunc() executing the above in R yields: > myfunc() Error in sq() : Object "x" not found I understand that R's scoping rules cause it to look for "x" in the environment in which "sq" was defined (the global environment in

David Brahm <brahm at alum.mit.edu> wrote: >VBMorozov at lbl.gov wrote: >> I would like to pass variables to a function in R in "by reference"... >Just in case the ensuing discussion got too esoteric, here's one simple answer: >R> x <- 1:10 >R> MyFunc <- function(x, zz) assign(deparse(substitute(zz)), sum(x), 1) >R> MyFunc(x,y) >R>

I may be doing this wrong! but I have a function which I have simplified a lot below. I want to pass some 'field names' of a data-frame to the function for it to then do some manipulation of. Here's my code: #build a simple dataset mydataset = data.frame (

Dear R-guRus: I would like to pass variables to a function in R in "by reference", e.g Fortran style. For example, suppose I have the following code x<-c(1:10) y<-1 MyFunc<-function(x,y) {y<-sum(x); return(NULL)} MyFunc(x,y) print(y) in this case print(y) will produce "1" instead of 55 (which is sum(x)) - how do I make sure that afte the function is run, y

Dear R-guRus: I would like to pass variables to a function in R in "by reference", e.g Fortran style. For example, suppose I have the following code x<-c(1:10) y<-1 MyFunc<-function(x,y) {y<-sum(x); return(NULL)} MyFunc(x,y) print(y) in this case print(y) will produce "1" instead of 55 (which is sum(x)) - how do I make sure that afte the function is run, y

Dear all, It has been ages since I studied integration in college. Right now I try to recover all this kind of knowledge and then try to understand how integration works. Thus I am doing some first 'experiments' and I would like to request your help and comments. I have the function: p2<-function(x){0.5*(3*x^2-1)} # I found the square of p2 by using some pencil and

R-help, I am trying to create a function that i pass a data set to and have the function return some calculations based on data. Allow me to illustrate: myfunc <- function(lst,mn,sd){ lst <- sort(lst) mn <- mean(lst) sd <- sqrt(var(lst)) return(lst,mn,sd) } data1 <-c (1,2,3,4,5) data2 <- c(6,7,8,9,10) myfunc(data1,data1mn,data1sd) myfunc(data2,data2mn,data2sd)

Hi all, is there a way to extract the name of a function, i.e. do the reverse of match.fun applied to a character string? I would like to print out the name of a function supplied to another function as an argument. For example: myFunc = function(x) { x+1 } applyFunc = function(fnc, x) { fnc = match.fun(fnc) fnc(x) } Is there a way to obtain "myFunc" from the argument fnc in

Hi All, I would like to compute the simple finite-difference approximation to the gradient of a scalar function of a large number of variables (on the order of 1000). Although a one-time computation using the following function grad() is fast and simple enough, the overhead for repeated evaluation of gradient in iterative schemes is quite significant. I was wondering whether there are

Hi, I would like to evaluate a function, with 3 arguments, for instance, myfunc<-function(a,b,c) { sqrt(a)-exp(b)+4*c } How to execute myfunc(x,y,z), for all x, all y and all z, where x,y,z are vectors? Thank you very much in advance -- View this message in context: http://r.789695.n4.nabble.com/Execute-a-function-tp4637182.html Sent from

Hello, I have a function with a long list of parameters (of different types, numeric and string) myFunc <-function(p1, p2, p3, p4, p5...etc) { do.something(p1,p2,....) } I want to loop over this to provide a different set of parameters to the list every time. for (ii in 1:N) { myFunc(p1(ii), p2(ii),....etc) } I would like to simplify the notation and use some kind of structure, maybe

I've written a function, myFunc, that works fine with myFunc(data, ...), but when I use apply() to run it with an array of data apply(myArray, 1, myFunc, ...) I get a strange error: Error in match.fun(FUN) : '1' is not a function, character or symbol which really puzzles me because '1' is meant to be the margin of the array I want to apply over, but how come does apply()