search for: inelegent

i'm somehow embarrassed to even ask this, but is there any built-in method for doing this: my_list <- list() my_list[[1]] <- matrix(1:20, ncol = 5) my_list[[2]] <- matrix(20:1, ncol = 5) now, knowing that these matrices are identical in dimension, i'd like to unfold the list to a 2x4x5 (or some other permutation of the dim sizes) array. i know i can initialize the array, then

Dear Help, Suppose I have a character vector. x <- c("Bob", "loves", "Sally") I want to combine it into a single string: "Bob loves Sally" . paste(x) yields: paste(x) [1] "Bob" "loves" "Sally" The following function combines the character vector into a string in the way that I want, but it seems somewhat inelegant.

In Mathematica there is a neat feature, where you can change the head of a list from "list" to say "+" and obtain a sum of the list elements. I can't find a way to sum a list of vectors of same length or list of matrices of the same dimension and was curious if something like that exists in R. do.call("+",list) doesn't work because "+" accepts only

Hello, I recently changed from Win XP to Mac OS X (10.5.1). Is there a way to run Bugs (in any version) in R (R version 2.6.0 (2007-10-03)) on this platform? Fredrik

Hello, I am interesting in using R from a web application, for basic statistics and plots. The server is Java-based (tomcat). The simplest solution is a system call that generates the text or the image, then the servlet forwards the output. This can be done from any language, but it is quite inelegant and slow for the initialization time. Is there any package or approach for accessing R from a

I want to interlace two vectors. This I can do: > x <- 1:4 > z <- x+0.5 > as.vector(t(cbind(x,z))) [1] 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 but this seems rather inelegant. Any suggestions? Murray -- Dr Murray Jorgensen http://www.stats.waikato.ac.nz/Staff/maj.html Department of Statistics, University of Waikato, Hamilton, New Zealand Email: maj at waikato.ac.nz

I'm a great fan of read.table(), but this time the data had a lot of cruft. So I used readLines() and editted the char vector to eventually get something like this: " 23.4 1.5 4.2" " 19.1 2.2 4.1" and so on. To get that into a 3 col numeric table, I first just used: writeLines(data,"tempfile")

I would like to do something like the following: Fancyhist<-function(x,...) { # first, process x into xprocess somehow, then ... if (is.null(breaks)) { # yes, I know this is wrong # define the histogram breaks somehow, then call hist: hist(xprocess,breaks=breaks,...) } else { # use breaks give in calling argument hist(xprocess,...) } } But, those of you who know R better

Am I correct in believing that one cannot match on multiple columns? One can indeed subset on multiple criteria from different variables (or columns) but not from unique combinations thereof. I need to exclude about 10000 rows from 108000 rows of data based on several unique combinations of identifiers in two columns. Only merge() seems to be able to do that. Merge would allow me to positively

I''ve been using script/runner to add and delete files from the database in response to inotify events. This works in theory, but is too slow to keep up with a large number of events in succession; I''m suspecting that the bottleneck is that script/runner has a huge startup cost. One thing I thought of was to queue inotify events, and call script/runner once a minute to clear the

Hi How do I get the output from table() in matrix form? If I have R> table(c(1,1,1,1,2,20)) 1 2 20 4 1 1 I want [,1] [,2] [,3] [1,] 1 2 20 [2,] 4 1 1 The problem is that names(table) is a vector of characters and I need the numeric values. I am using R> rbind(as.integer(names(x)),x) I thought tabulate() might be better as it takes an

AARRGGHH! Sometimes it's the simple things that are particularly frustrating, especially late at night.... Can anyone suggest a simple means for replacing all of the zero values in a matrix with NANs? I ended up writing an awk script to massage the input file, which works, of course, but is rather an inelegant blunt instrument. I'd prefer an R operation. I'm certain that

Hello, If I make a plot, say something simple like plot( runif(100) ) then the origin (0,0) is not at the bottom-left corner of the box surrounding the plot. The axis limits are "padded" slightly. This is ordinarily a good feature, because it makes plots look better. But now I would like to make a plot with the origin exactly on the bottom left. Through trial and error, I have

I would like to create a method for the generic function "with" applied to a class of fitted models. The method should do two things: 1. Substitute the name of the first argument for '.' throughout the expression 2. Evaluate the modified expression using the data argument to the fitted model as the first element of the search list. The second part is relatively easy. The

I'm working on a project that involves Queues with Agents that are at home with a PSTN phone number, NOT connected via SIP phones. In the queues.conf it clearly states that only the SIP driver supports "In Use" detection of making members of a Queue available or unavailable. I've not yet figured out the best way to handle this. Currently I've got a macro that is executed

Fair enough. In that case, is there an elegant way to test whether a basic block already has a terminator instruction? (I can think of several ways to do it in the front-end, but all of them are fairly inelegant. The problem I'm trying to solve is things like 'a return instruction needs to be added to the end of a function, if and only if the programmer didn't already end the function

Suppose I have interest in a matrix with the following symbolic structure (specified by 3 parameters: sa, so, m): matrix(c(0,sa*m,so,sa),2,2,byrow=T) What I can't figure out is how to construct a series of matrices, where the elements/parameters are rnorm values. I'd like to construct separate matrices, with each matrix in the series using the 'next random parameter value'.

hi all - i'm just wondering what sort of code people write to essentially performa an aggregate call, but with different functions being applied to the various columns. for example, if i have a data frame x and would like to marginalize by a factor f for the rows, but apply mean() to col1 and median() to col2. if i wanted to apply mean() to both columns, i would call: aggregate(x, list(f),

Is there any sample code around that sorts a virtual listctrl? I have loaded data into a ListCtrl and set things up so that if I click on a column heading on_col_left_click(event) gets called and it in turn sorts / reverses the sort of that column. I am printing out the data for debugging purposes so I know that my internal data representation is getting sorted but I nothing is getting

Folks, I have a matrix of historicalReturns, where entry (i, j) is the daily return corresponding to date i and equity j. I also have a matrix startOffset, where entry (1, k) is the row offset in historicalReturns where I entered into equity k. So we have that NCOL(startOffset) = NCOL(historicalReturns). Now I would like compute for each column in historicalReturns, the cumulative return