similar to: R

Hi just a quick question in which I must use the "function and return" part of R. If I was asked to define a function called "median" where the function has a single argument x and returns the median value of a vector. How would I go about saying the median = element x in terms of n (say (n + 1)/2 or whatever it would be) if there is an even amount of elements, or x in terms

Using functions how would I go about do this question? (I already have a mean defined for a function of x.) Write a function called MyMean2. This function has two arguments, x and nonzero, where nonzero has the default value TRUE. This function should return the (Previous defined mean of x) if nonzero=FALSE (Previous defined mean of x) for all x's>0 if nonzero=TRUE Much appreciated.

dear R wizards: I am looking for a binary package distribution of R 2.9.2 for OSX . Looking at http://r.research.att.com/ , there seems to be only a binary for 2.9.0 . is the 2.9.2 version binary package available somewhere? (at this point, would it make sense to elevate the 64-bit version to a "standard recommended" rather than just a "boutique" version?) sincerely, /iaw

Dear R experts---I am struggling with memory and speed issues. Advice would be appreciated. I have a long data set (of financial stock returns, with stock name and trading day). All three variables, stock return, id and day, are irregular. About 1.3GB in object.size (200MB on disk). now, I need to merge the main data set with some aggregate data (e.g., the S&P500 market rate of return,

Sorry, one more: on OSX, I deleted my old 2.9.2 R.app, and installed the 64 bit version of 2.9.0. I then did an "install.packages("car")" under my new 2.9.0. It seems to have worked, but alas, I still get an error that package 'car' was built under R version 2.9.2 . Where exactly does R under OSX install its packages? (is it a bug that another car is loaded?) PS:

dear R experts--- I am experimenting with multicore processing, so far with pretty disappointing results. Here is my simple example: A <- 100000 randvalues <- abs(rnorm(A)) minfn <- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] } ?## an arbitrary function ARGV <- commandArgs(trailingOnly=TRUE) if (ARGV[1] == "do-onecore") { ?library(foreach) ?discard <-

Hi, I'm not sure this is a bug, so I thought I'd bounce it off the help group first. I had a dataset which I was subsetting, and occasionally I get an empty subset. If I don't check for emptiness and go straight to a which.min call on the subset, the program gets a big negative number back. One-line Example: > which.max(NULL) [1] -2147483647 This caused an indexing

I'm attempting to update to R 2.15.1, and I'm having trouble with a package that depends on the "Matrix" package. I've created a dummy package consisting only of a DESCRIPTION file that specifies the dependence on "Matrix", a NAMESPACE file, and an R directory, containing a single function, "square <- function(x) { return (x*x) }". When I try to

I have been using ddply to do aggregation, and I frequently define a single aggregation function that I use to aggregate over different groups. For example, require(plyr) dat <- data.frame(x = sample(3, 100, replace=TRUE), y = sample(3, 100, replace = TRUE), z = rnorm(100)) f <- function(x) { data.frame(mean.z = mean(x$z), sd.z = sd(x$z)) } ddply(dat, "x", f) ddply(dat,

Is there an easy way to "thin" a lattice plot? I often create plots from large data sets, and use the "pdf" command to save them to a file, but the resulting files can be huge, because every point in the underlying dataset is rendered in the plot, even though it isn't possible to see that much detail. For example: require(Hmisc) x <- rnorm(1e6)

>>>>> "williams" == williams elliot <williams.elliot@bls.gov> >>>>> on Thu, 8 Jul 2004 01:50:16 +0200 (CEST) writes: williams> Full_Name: Elliot Williams Version: 1.9.1 OS: williams> Linux Submission from: (NULL) (146.142.53.18) williams> Hi, williams> The usual configure/make procedure hangs when williams>

I'm trying to make multiple line plots, each with a different color, using the xyplot command. Specifically, I have an NxK matrix Y and an Nx1 matrix x. I would like the plot to contain a line for each (x, Y[,i]), i=1:K. I know something like xyplot(Y[,1] + Y[,2] + Y[,3] ~ x, type='l') will work, but if Y is large, this notation can get very awkward. Is there a way to do something

I'm having some trouble using the latticeExtra 'combineLimits' function with a Date x-variable: require(lattice) set.seed(12345) dates <- seq(as.Date("2011-01-01"), as.Date("2011-12-31"), "days") dat <- data.frame(d = rep(dates, 4), g = factor(rep(rep(c(1,2), each = length(dates)), 2)), h =

I'm trying to use lattice graphics to produce some small plots for inclusion in a LaTeX file. I want the LaTeX fonts to be used in the plots, but to be scaled down to match the size of the plot. I have written the following code to apply a scaling factor to all the "cex" and "padding" entries in the trellis parameters, but there is still a large white space between the key

dear R experts---now I have a case where I want to estimate very large regression models with many fixed effects---not just the mean type, but cross-fixed effects---years, months, locations, firms. Many millions of observations, a few thousand variables (most of these variables are interaction fixed effects). could someone please point me to packages, if any, that would help me estimate such

Hi Elliot, I couldn't find anything related to smbpasswd expiry. Since u have "unix password sync = true", just a wild guess, if u could turn off password ageing in unix passwd file (man passwd for more detail) and see if problem persists. Rgds Gary Elliot wrote: > Hi guys... I setup samba 2.2.5 as a PDC ... I have w2k clients. It seems > that now I am prompted to change

Dear R wizards: is there a clean way to assign to elements in a list? what I would like to do, in pseudo R+perl notation is f <- function(a,b) list(a+b,a-b) (c,d) <- f(1,2) and have c be assigned 1+2 and d be assigned 1-2. right now, I use the clunky x <- f(1,2) c <- x[[1]] d <- x[[2]] rm(x) which seems awful. is there a nicer syntax? regards, /iaw ---- Ivo Welch

Sure, I've attached it to the bug report. Direct link is here: https://llvm.org/bugs/attachment.cgi?id=16840 - Elliot "llvm-dev" <llvm-dev-bounces at lists.llvm.org> wrote on 2016/07/29 03:46:41 PM: > From: Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> > To: llvm-dev at lists.llvm.org > Date: 2016/07/29 03:46 PM > Subject: Re: [llvm-dev]

Dear R experts--- Has anyone written parallel versions of "by" (i.e., mcby) and "ave" (i.e. mcave) ? I did ask a question like this a year ago, and then the answer was no. for those who are googling the group for the answer to this question, in the meantime, the poor man's version of "by" is mclapply( split( ds, factor ), FUN ) I don't know the poor

dear R experts---I am struggling with the requirements to prepare my files for my printers. I am printing in 2/2 format, which means cyan and black for me, which they take from my color-separated pdf files. R comes into play, because it produces all the figures that are embedded in my book (pdflatex). now, TeX has no problems producing CMYK files. However, R produces RGB files (for