search for: inelegant

..._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 loop through my_list to fill the array, but somehow this seems inelegant. i also know i can vectorize the matrices and unlist the list, then build the array from that single vector, but this also seems inelegant (and an easy place to introduce errors/bugs). i can't seem to find any built-in that handles this already... but maybe i just haven't looked hard enoug...

...", "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. paste.vector <- function(x, ...) { output <- NULL for (i in 1:length(x)) output <- paste(output, x[i], ...) output } #end of function definition paste.vector(x) [1] " Bob loves Sally" Is there a more natural (no loop) way to do this in R? John Miyamoto ------------------...

...#39;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 two arguments, I can obviously use loops but this is quite slow and inelegant. Thanks, Tsvetan

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 Java servlet you can suggest? Thanks in advance for any suggestion. Regards, -Marzio -- http://marzio.sala.googlepages.com [[alternative HTML version deleted]]

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 Fax 7 838 4155 Phone +64 7 838 4773 wk +64 7 849 6486 home M...

...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") read.table("tempfile",col.names=c("A","B","C")) Works fine, but writing to a temporary file seems ... inelegant? And read.table() doesn't take a char vector as a file or connection argument. The following works but it seems like a lot of code: data <- sub(" +","",data) # remove leading blanks for strsplit data <- strsplit(data," +") # strsplit returns a list...

...of you who know R better than I do have already spotted that "is.null(breaks)" just won't work. Neither does "exists" or "missing". I can think of ways to do this involving new arguments with new names -- like "histbreaks" or something -- but that seems inelegant. Is there a way to do what I am trying to do here? Thanks.

...o 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 select but it would not allow me to deselect (or exclude). Look at how I got around the problem. It is inelegant. Have a missed a more direct function? x<-seq(from=1,to=10) y <-rep(1:2,5) data<-data.frame(cbind(x,y)) x<-seq(from=1,to=10) y <-rep(1:5,2) data1<-data.frame(cbind(x,y)) newdata<-rbind(data,data1) newdata[10,2] <- 3 exclude<-newdata[18:20,] #This is a simulation of real...

...eory, 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 queue, but that seems a bit inelegant - ideally, what I''d like to do is have a persistent process that is aware of my rails models, and which I can just keep sending events to and have it process them as they come in. Any thoughts on strategies to accomplish this? martin

...it isn't quite right because the default bins are 1:20 and I don't want the zeroes. The following is a little clunky: R> x <- rbind(1:20,tabulate(c(1,1,1,1,2,20))) R> x[,x[2,]>0] [,1] [,2] [,3] [1,] 1 2 20 [2,] 4 1 1 Is there a better way? It seems inelegant to coerce a character vector back to integers, but OTOH it's wasteful to have 20 bins when I only need 3. My real application would have maybe a dozen distinct (prime) integers in the range 2 up to about 1e4. -- Robin Hankin Uncertainty Analyst Southampton Oceanography Centre European...

...ometimes 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 I'm missing something obvious here.... --Mike ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Michael A. Camann mac24 at axe.humboldt.edu Assistant Professor of Zoology Voice: 707-826-367...

...ow I would like to make a plot with the origin exactly on the bottom left. Through trial and error, I have discovered that this padding is approximately 3.8% of the axis length. That is, plot( runif(100), ylim=c(.038,1), xlim=c(3.8,100)) gives the desired result. However, this seems like a rather inelegant hack. Is there a "correct" way to do this? Thank you! Enrico [[alternative HTML version deleted]]

...39;t been able to work out a clever way of using substitute to get the first part. I would like to be able to call, e.g. with(fm, xyplot(resid(.) ~ carb)) and get a plot of resid(fm) ~ Formaldehyde$carb It is possible to do the first part by deparsing, substituting, and parsing but that's inelegant. Can anyone suggest a more elegant method? BTW, the example of an lm model is just for illustration. The actual use I have in mind is for lme (now lmer) models. The plot method for the lme class in the nlme package does something very similar to this.

...t;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 upon answer that Pauses the Queue Member, and another hook in the hangup to Unpause the Queue Member. It's inelegant and needs additional help with a cron job connected to Asterisk Manager to make sure the paused status is appropriate. I am making an outbound call to the PSTN, and I could dial it via SIP, but in my tests, because this is not a device, Asterisk cannot determine if it is on-hook or off-hook, and t...

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 with an explicit return statement', 'if the programmer did write an explicit return statement everythin...

...to construct separate matrices, with each matrix in the series using the 'next random parameter value'. While the following works (for generating, say, 5 such random matrices) replicate(5,matrix(c(0,rnorm(1,0.8,0.1)*rnorm(1,1.2,0.1),rnorm(1,0.5,0.1),rnorm(1,0.8,0.1)),2,2,byrow=T)) its inelegant, and a real pain if the matrix gets large (say, 20 x 20). I'm wondering if there is an easier way. I tried > sa <- rnorm(5,0.8,0.1) > so <- rnorm(5,0.5,0.1) > m <- rnorm(5,1.2,0.1) matrix(c(0,sa*m,so,sa),2,2,byrow=T) but that only returns a single matrix, not 5 matrices...

...2. if i wanted to apply mean() to both columns, i would call: aggregate(x, list(f), mean) but to get the mean of col1 and the median of col2, i have to write separate tapply calls, then wrap back into a data frame: data.frame(tapply(x$col1, f, mean), tapply(x$col2, f, mean)) this is a somewhat inelegant solution for data frames with potentially many columns. what i would like is for aggregate to take a list of functions for columns, something like: aggregate(x, list(f), list(mean, median)) i'm just curious how others get around this limitation in aggregate(). do most simply make the indivi...

...dgets book (which I have access to online through safari) I also don''t understand what I should be returning if the ListCtrl requests more rows than I have data for... right now I''m returning " " and ending up with blank lines in my table, but that seems rather inelegant. I''ll post / send some sample code for sorting / displaying from a separate data source once I have it working and maybe you can add it to the samples library.... I''d expect that being able to quickly whip up a cross platform data viewer is a popular reason to use wxRuby....

...urnsFromInception <- matrix(nrow = 1, ncol = NCOL(historicalInceptionDates)) for (i in 1 : NCOL(historicalReturns)) { cumReturn <- cumsum(historicalReturns[startOffset[1, i] : n, i]) returnsFromInception[1, i] <- cumReturn[length(cumReturn)] } This works for me, but seems rather inelegant, and I don't like having to use a matrix for returnsFromInception and startOffset, where vectors would work. Thanks for your help. Murali _________________________________________________________________ It?s tax season, make sure to follow these few simple tips