similar to: two instances of R

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Back to my favourite R subject: batch mode. Some months ago, I pointed out how the default of saving .RData automatically in batch can often lead to completely erroneous results when using data.frames. Basically the idea of .RData is to save the environment to start where one left off. This will generally be quite different than where one started the session. The idea of a batch file is to redo a

I''m having problems sorting on untokenized fields. I have one field that sorts fine, but there are others that seem to sort on a different field. Here''s the index description: acts_as_ferret :remote=>true,:fields=>{:name=>{:boost=>2},:name_for_sort=>{:index => :untokenized}, :city=>{:boost=>2}, :city_for_sort=>{:index=>:untokenized},

Just a word to mention that I have lost 2 hours yesterday to find out why R refused to use a function from a package calling C-code. R invariably answered that the C code was not in the load table (something like this). I have tried everything (or nearly) to solve my problem knowing that this same package used to work on my computer at the university. Finally, I found out that running the same

Hello! Can anyone explain why my Unicorn installation (for RoR site) have so many worker threads? * screenshot: http://i.stack.imgur.com/U9TFR.png * unicorn.rb: https://gist.github.com/907th/4995323 Thanks!

Hi, I have a large group of jobs, some of them are running on the same directory. All of them in batch mode. What are the best ways to protect from corrupting the results two or more jobs running on the same directory. One, I would think can be to run each job in a separate directory, collect the results and after remove the directories. But I have thousands of jobs that will run in parallel

I often use R CMD BATCH to run my files (e.g. script.R), and get the output recorded in script.Rout -- this is great. On my setup (R.2.3.0 on linux), if any plots are created, they get stored in Rplots.ps. This can get confusing if I have several batch scripts in one directory. I've written a simple shell script to rename Rplots.ps to e.g. script.Rout.ps so that later I can easily identify

valgrind complains about the save command in R 2.3.1 as shown by the script included below. Of course, I don't know whether this "Conditional jump or move depends on uninitialised value(s)" is really a bug. Experience with similar issues in my own code says it may be, but it is also hard to tell. Having no familiarity with the code cited in deflate.c, I leave the issue to experts.

Hi R users, I am still a relatively new R user migrated from S+. I wonder in R how do you handle one difference between R and S+. S+ saves objects as different files in .Data directory while R saves all objects in a big file .RData. In S+, I can start two S+ sessions from the same directory and work simultaneously as long as new objects in the two sessions are not in the same names. This is

Thanks a lot for all of you that have reply me about opening and ending R workspaces in BATCH mode. However replies were a king general and I?m afraid I could not take the entire message from them. Therefore I chose to expose here a representative fraction of my work. I have 50 Rdata files (F1,F2,F3,F4, ,F50) with objects inside. I need to: open F1: - perform some simple operations

Apologies for asking about this, but I don't quite understand how this works after looking through the FAQ and the Help archives. Let's say I want to pass "1000" as an argument to R. I did the following: >R CMD BATCH --1000 infile outfile When I do print( commandArgs() ), I see [1] ".../R.bin" "--restore" [3] "--save"

Dear R users, I am analysing a very large data set and I need to perform several data manipulations. The dataset is so big that the only way I can play with it without having memory problems (E.g. "cannot allocate vectors of size...") is to write a batch script to: 1. cut the data into pieces 2. save the pieces in seperate .RData files 3. Remove everything from the environment 4. load

I can't tell from the docs ("Writing R Extensions" 1.9.1) exactly what environment the tests, examples, and vignettes that R CMD check tries to run are in. In particular: 1) how do I get the package loaded? 2) how do I access data in the data/ directory? 3) where is the material in the other directories? (e.g., has inst/ material been installed? where?) Apparently (section 1.3)

Full_Name: Vaidotas Zemlys Version: 2.1.1 OS: Ubuntu 05.10 Submission from: (NULL) (213.197.173.50) Hi, This is really a feature request, not a bug. I wrote the mail to R-devel, but nobody answered it. I use Gnome on my computer and sometimes I use its default text editor gedit. It uses gtksourceview library for syntax highlighting. I decided that it would be nice if gedit supported R

1) The .RData file (and S .Data area) are cputype dependent. When R is used from different types of machines (say, HP and Sun) that share a common filesystem (say afs or dfs) then loading the wrong type of .RData file can lead to mysterious behaviour. In my environment, undergraduate students are the most likely to log into different cputypes, and they end up being quite confused. To

Hi useR's, I want to overlay an image plot over a world map and I can do it, but just not the way I need to do it. Here is the code I am using (with data file attached) to create my baseline map: library(sp) load("TM_WORLD_BORDERS_SIMPL-0.2.RData") par(bty="l") plot(wrld_simpl, axes = TRUE, ylim = c(-90, 90), xlim=c(-180, 180), asp=1.5) lim <- par("usr")

Dear R-users, I need to load outputs from multiple previous calculations into one R session for comparison and (cross-)analysis. The previous calculations are stored in different directories in .Rdata files (I don't know if this is the best storage for later usage, but the previous project could be recalculated and saved into different format, if needed, potentially.) I can load consequently

I installed R on my Windows laptop in C:\Program Files\R\R-2.15.2 and am able to open RGUI (640bit), see packages and run commands. However, when I test the installation and run the basic tests and all the tests on the standard and recommended packages i.e.: library("tools") testInstalledBasic("both") testInstalledPackages("base", errorsAreFatal

I already searched for information regarding the batch file operations within R. But I could not locate the information I need. Basically I have a doubt regarding the procedures on the batch use of several script files (*.R). How can I do this? How can I define the order of files? My intention is to programme openings, math operations and savings of *.Rdata sessions, but in a sequential

Dear R-user, I'm running a certain R script in DOS batch mode. Is there a way to prevent R from saving the workspace once this script is finished? I'm asking this because the resulting .RData file has the size of >70MB. I don't need this file since my script already writes the required output and this makes the whole process very slow (>15 minutes each time) FYI, my script: