similar to: How to get 'R' to talk BACK to other languages / scripts??

Hello all, First of all, thanks so those of you who helped me a week or so ago managing a time series with varying gaps between the data series in 'R'. (My final preferred solution was to use "its" function & then forecast(Arima( ) ). ) My next question is a general statistical question where I'd like some advice, for those willing / able to proffer any wisdom:

Hi all, I am using the package "random forest" for random forest predictions. I like the package. However, I have fairly large data sets, and it can often take *hours* just to go through the "na.roughfix" call, which simply goes through and cleans up any NA values to either the median (numerical data) or the most frequent occurrence (factors). I am going to start

Hello, This is mostly to developers, but in case I missed something in my literature search, I am sending this to the broader audience. - Are there any plans in the works to make "time" classes a bit more friendly to the rest of the "R" world? I am not suggesting to allow for fancy functions to manipulate times, per se, or to figure out how to properly

Hello, This is mostly to developers, but in case I missed something in my literature search, I am sending this to the broader audience. - Are there any plans in the works to make "time" classes a bit more friendly to the rest of the "R" world? I am not suggesting to allow for fancy functions to manipulate times, per se, or to figure out how to properly

Hi everyone, I have another "Random Forest" package question: - my (presumably incorrect) understanding of the varImpPlot is that it should plot the "% increase in MSE" and "IncNodePurity" exactly as can be found from the "importance" section of the model results. - However, the plot does not, in fact, match the "importance"

Hi All, First let me state that I did search for a while on r-help, google, and using the "sos" package inside of 'R', without much luck. I want to know how to create a univariate time series from a set of data that will have huge time gaps in it. For instance, here is a snapshot of a piece of data that I would like to analyze: *Row queued_time

Hello All, Using the standard "summary" function in 'R', I ran across some odd behavior that I cannot understand. Easy to reproduce: Typing: summary(c(6,207936)) Yields:: Min. *1st Qu. Median Mean 3rd Qu. Max.* 6 *51990 104000 104000 156000 207900* None of these values are correct except for the minimum. If I perform "quantile(c(6,

Hello, A hopefully simple question. I use 'R' through emacs, but I suspect the following would occur with any manner of text editor: - my editor has a normally quite handy feature where it will automatically indent to the appropriate level when I start a new line. However, this occasionally creates cases where there is no friendly way to break a long line of code into

Hey everyone, I've been using 'R' long enough that I should have some idea of what the heck either expression() or eval() are really ever useful for. I come across another instance where I WISH they would be useful, but I cannot get them to work. Here is the crux of what I would like to do: presume df looks like this A B C === === === M 45 0 M

Hello all, I have a strange / interesting problem that might be 'R' settings themselves, or it might be something with the OS. I am using the RODBC library. I have a script that goes out and, before making a query for a big data set, will first query for the column names of the data set. The column names could sometimes be quite long (e.g., "Time Background Estimation

Hello all, I have a peculiar and particular bug that I stumbled across with ggplot2. I cannot seem to replicate it with anything other than my specific data set. Here is the problem: - when I try to plot a histogram, allowing for ggplot2 to decide the binwidths itself, I get the following error: - stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to

Hello developers, I noticed that if I am running 'R', type "rm(list=objects())" and "gc()", 'R' will still be consuming (a lot) more memory than when I then close 'R' and re-open it. In my ignorance, I'm presuming this is something in 'R' where it doesn't really do a great job of garbage collection... at least not nearly as well as

Hi all, i was using bdrb a while ago and it wasn''t stable enough in version 0.2.1 for doing the job - it loss jobs or did execute only the first one invoked and so on. Now i gave the new version a try and i found a bug at playing around. When i start a worker_method over the normal Unix scheduler bdrb will start as much as possible the worker_method after the :end-time is reached.

Hi, I added the "tests" subdirectory and a test file (say "myTest.R") to our "systemfit" package. Up to now I create the "myTest.Rout.save" file with > R CMD BATCH --vanilla myTest.R myTest.Rout.save However, "R CMD check" reports two differences between myTest.Rout.save and the output of myTest.R: a) myTest.Rout.save contains following

mytest<-function(x,f){ sum(x*f)/sum(f) } cat(mytest,file="c:/mytest.R") Error in cat(list(...), file, sep, fill, labels, append) : argument 1 (type 'closure') cannot be handled by 'cat' how can i write the mytest function into a file c:/mytest.R with cat function? [[alternative HTML version deleted]]

Full_Name: Ben Saville Version: 2.1 OS: Windows XP Submission from: (NULL) (152.2.94.145) I'm using the gsummary function to calculate a sum of V1 (column one) from my data 'mytest' by group (V2,or column 2). If V1 (the variable of interest) is all the same value (in this case all 2's), I do not get back the correct summation. If there is at least one difference in V1 (all

I''m new to rspec and looking for way to test a validation I added to a model. The test checks to see that if field1 has a value then field2 must be nil and vice versa. ------------------------------- When I did the rspec_scaffold it generated one test which worked before :each do @valid_attributes = { :field1 = "value for field1" :field2 = "value for

Hi, I was in under impression that rsync 3.0.5/3.0.6 creates all the missing directories in the path but I think I am wrong. Could any one tell me is it possible to create all missing dirs in path at destination side if not exists. Currently, I have been getting below errors. rsync -avz /tmp/mytest/rsync-test/dir-test/parent-dir/ desthost:/tmp/mytest/rsync-test/dir-test/parent-dir/ sending

When using the ARM cross compiler we've run into an issue with LTO and optimized libraries. Consider you have an optimized library opt.a, which contains a version of memcpy. Compiling with LTO (something like), clang myTest.c opt.a -flto -o myTest causes myTest.c to get compiled to bitcode. Then the bitcode gets passed to the linker. The linker looks through the bitcode (via

Folks, While going through a quick tutorial on zfs, I came across a way to create zfs filesystem within a filesystem. For example: # zfs create mytest/peter where mytest is a zpool filesystem. When does this way, the new filesystem has the mount point as /mytest/peter. When does it make sense to create such a filesystem versus just creating a directory? # mkdir mytest/peter Thank you in