similar to: simple if...else causes syntax error

I have used Sweave a lot the latest year, but never really used any long function calls. If I have code which look like this ------------------------------------------------------------- gof <- benthic.flux(ID="Gulf of Finland", meas.conc=conc, bw.conc=bw.conc, time=times,

Dear all R-helper, if I want to use stdout from other language as my R program input ,which is the best way for design the API,using Pipe function or produce a temporary file,using scan function to read the file ? thanks Michael

Hi, I would really like to have a way to split long string literals across multiple lines in R. Currently, if a string literal spans multiple lines, there is no way to inhibit the introduction of newline characters: > "aaa + bbb" [1] "aaa\nbbb" If a line ends with a backslash, it is just ignored: > "aaa\ + bbb" [1] "aaa\nbbb" We could use

On Wed, 14 Jun 2017 06:12:09 -0500, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 14/06/2017 5:58 AM, Andreas Kersting wrote: > > Hi, > > > > I would really like to have a way to split long string literals across > > multiple lines in R. > > I don't understand why you require the string to be a literal. Why not > construct the long

Hello... I would like to use R for 'pipelining' data among several programs. I'm wondering how I can use R to call another program, feed that program a set of parameters, and retrieve the output. E.g., I have an executable that, when opened, prompts the user to enter a set of parameters. The program then executes & prompts the user for the name of an output file. I need to

I don't think it is reasonable to change the parser this way. This is currently valid R code: a <- "foo" "bar" and with the new syntax, it is also valid, but with a different meaning. Or you can even consider a <- "foo" bar %>% func() %>% print() etc. I like the idea of string literals, but the C/C++ way clearly does not work. The Python/Julia way

Mark, that's actually a fair statement, although your extra operator doesn't cause construction at parse time. You still call paste0(), but just add an extra layer on top of it. I also doubt that even in gigantic loops the benefit is going to be significant. Take following example: atestfun <- function(x){ y <- paste0("a very long", "string for

Hi, I am trying to figure a way to allocate a string SEXP so that gc() won't ever collect it. Here is a little bit of a background. Suppose I want to write a .Call-callable function that upon each call returns the same value, say mkChar("foo"): SEXP getFoo() { return mkChar("foo"); } The above implementation doesn't take advantage of the fact that

The release schedule has now been set with a release date on April 18. The detailed procedure can be found at http://developer.r-project.org/ (it is not quite there yet, but will appear after a short propagation delay.) The main point for non-developers is that we start making alpha tarballs on March 21 and beta tarballs on April 4. Only very simple and/or critical bugs are fixed in the last

Hi, for presentation purposes I would like to clear to whole console window (like in a UNIX terminal: 'clear'). Is there such a function? If not, I could image that is not too hard to write such a function. Cheers, Hans

Can anyone point out why this is not working? y<-read.table(pipe(' awk '{ n = $1; sub( ".*" $1 " " ,"") ; while ( n-- ) print }' temp.txt ')) [[alternative HTML version deleted]]

Hello, This code works fine but is so fast I can't see anything but the last plot. for (i in nrow(X)){ plot(as.numeric(d[i,])) } I'd like to view a plot every 500 milliseconds, nrow(X) = 400. How? Thanks -- View this message in context: http://www.nabble.com/Plot-timer-in-a-for-loop-tp17741975p17741975.html Sent from the R help mailing list archive at Nabble.com.

Dear all, I would like to start a process from an R program in such a way that I can both feed input into the process and read the process's output. It seems that in R, I can have a pipe for writing into another process's input or a pipe for reading from another process's output, but not both. Doing both necessitates forking, such that the child can start the external process and

Dear all, I would like to start a process from an R program in such a way that I can both feed input into the process and read the process's output. It seems that in R, I can have a pipe for writing into another process's input or a pipe for reading from another process's output, but not both. Doing both necessitates forking, such that the child can start the external process and

How precise is R numerically? For example I wrote the following function for calculating the volume of the ball inscribed in the unit cube in m dimensions. In order to see what happens in 40 dimensions, I created an output of 24 digits. But how many are precise? Thanks Josef Eschgf?ller Ferrara --------------------------------------- Vol = function (m) {if (m<=1) 1 else Vol(m-2)*pi/(m+m)}

Dear R-help, Here's a simple example of nonlinear curve fitting where nls seems to get the answer wrong on a very simple exponential fit (my R version 2.7.2). Look at this code below for a very basic curve fit using nls to fit to (a) a logarithmic and (b) an exponential curve. I did the fits using self-start functions and I compared the results with a more simple fit using a straight lm()

I have been using the fork package on a cluster to spawn jobs. I have noticed that I end up with many "R defunct" (zombie) processes following the use of fork that do not die completely until I close down R. Initially, I thought it may be my code but I ran the example from the latest fork package (see code below) on R.2.3.1 and ended up with the same problem. The code from the

Hi, I have the following data: Path_Number <- 5 ID.Path <- c(1:Path_Number) # Make vector of ID's. No_of_X <- sample(50:550, length(ID.Path), replace=TRUE) # X <- split(sample(1:10000, sum(No_of_X), replace=TRUE), rep(ID.Path, No_of_X)) Y <- lapply(X,function(x) sample(x, round(runif(1, min=10, max=50)))) X and Y are both lists, and I've made the following function to

Hi, I am using the following command to print to a file (I omitted the file details): cat( paste( paste(orientation, start, end, names,"\n"), paste(start, end, "exon\n"), sep="")) where "orientation" and "names" are character vectors and "start" and "end" are integer vectors. The problem is that R coerce the integer vectors

Can anyone please help me understand whats happening here? Thanks Tom getAmpRatio<-function(v_amps){ #calculates the amplitude ratios between the 3 largest amps and the rest bigamp<-0 map<-rep(TRUE,length(v_amps)) for(iLoc in 1:3){ bigamp<-bigamp+max(v_amps) map[which.max(v_amps)]<-FALSE v_amps<-v_amps[map]