similar to: R-beta: why restart()

Recently, with LSM (linux security modules) interface growing stable, it is becoming easier to implement different access-control systems for linux. There are already several projects using different approaches to the access-control problem. Each of them has its own meta-info for each file. When syncing two hosts which use some security module, one needs to sync this meta info for each file

Hi,there I'm doing some R batch jobs in Unix. Something like R <prog1> output1 --save & R <prog2> output2 --save & prog1 and prog2 are running at the same time and they are essentially same except it contains different parameter values. I was wondering if two processes will affect each other? Hopefully they are two independent jobs. It's a beginner's question

Hi,there, I am using R package "boot" to bootstrap. I have one question here: does anybody possibly know how the boot package generates the "indices" which is used in the statistic function? I thought "indices = sample(data, replace=TRUE)", but when I replaced "indices" with this command and used "boot", I got different results. Specifically,

#I wish to create a "list of three dataframes" ("results2") from a "list of two dataframes" (temp) and a dataframe ("c")? #Please advise. a <- data.frame(x=c(1,2,3),y=c(5,7,9)) b <- data.frame(x=c(2,4,7,9),y=c(2,3,5,4)) c <- data.frame(x=c(22,34,7,9),y=c(52,63,5,4)) results1 <- list(a,b,c) #what I want #but this is how I need to get there

In another thread, a user was told to execute: wine 'prog1 prog2' to run them both at the same time. I haven't been able to figure out how to do that with my situation. I tried this wine "'c:/Program Files/wdisplay/WeatherD.exe' 'c:/Program Files/ Google/adwords_editor.exe'" but got this: wine: cannot find ''c:/Program

Hi, this is more a general statistics question I think. I am working on a system which automatically answers user questions (such systems are commonly called "Question Answering systems"). I evaluated different versions of the same system on a publicly available test set. This set contains 500 question. Naturally, for each question the answer can be wrong or right, which is coded as

I am calculating the mean of each column grouped by the variable 'id'. I do this using aggregate, data.table, and plyr. My aggregate results do not match the other two, and I am trying to figure out what is incorrect with my syntax. Any suggestions? Thanks. Here is the data. myData <- structure(list(var1 = c(31.59, 32.21, 31.78, 31.34, 31.61, 31.61, 30.59, 30.84, 30.98, 30.79, 30.79,

Congrats to all those who have contributed to R over the past year. As with last year, for New Year I would like to list the top 10 features I would like to see in R. The first three are the most important. 1. Scripting With this feature it would be possible to call R like this as a filter: R -f myprog.R infile1.txt infile2.txt > outfile.txt or prog1 | R -f myprog.R | prog2

Hi, I've got the following code which seems to work fine for a single file if I specify the file name explicitly in the code. What I need to do is run it on all the files in the directory tested and augment the data frame I'm building to have more results columns.How can I do that? Here's the code: library(chron) # .Holidays / is.holiday / is.weekend TStoDate = function

Dear R helpers, I have some difficulties in using ''break'' function with loop, and the followings are my script. What I try to do is (1) permute ''or'' first; (2) doing t-test if this ''or'' pass criteria 1 (k=1); (3) end the loop when I get 10 permutations; (4) redo everything again but this time use criteria 2 (k=2) (I have more criteria 1:n).

Hi, I'm trying to write a simple function like case1 <- function (m, cov, Q, R) { theta <- (acos(R/sqrt(Q^3))) beta <- (-2)*sqrt(Q)*cos(theta/3)+m[1]/3 rho1 <- (-2)*sqrt(Q)*cos((theta+2*pi)/3)+m[1]/3 rho2 <- (-2)*sqrt(Q)*cos((theta-2*pi)/3)+m[1]/3 stderrb <- deltamethod( ~(-2)*sqrt(Q)*cos(theta/3)+x1/3,m,cov) stderrr1 <- deltamethod(

Hi together I'm pretty new to R, so excuse me if it is a basic question. I have a big dataset (extract of it found in the attachment) of returns from firms. I'd like to compute the Pearson correlation of each firm with the "Market" and the corresponding p-Value. So I thought of making a list of 'cor.test's and then extract the needed values with a for loop. What I did so

hello all i am busy testing some code that will be used for parallel computations on a Moab cluster. I have written a C++ program and am linking it with R using the .C command - this works correctly. Extracts of the r code (as well as the *.sh file) is included below. I am able to run the code successfully if I remove all of the doMPI commands. i.e. outs=.C("prog1", all of the

Hello r-help, I am using the excellent np package to conduct a nonparametric kernel regression and am having some trouble plotting the results. I have 2 covariates, x1 and x2, and a continuous outcome variable y. I am conducting a nonparametric regression of y on x1 and x2. The one somewhat unusual feature of these data is that, to be included in the dataset, x1 must be at least as large as x2.

Hello All, Okay i think I''m finally getting all of what i want out of ferret working, thanks mostly to reading this forum and also getting ALOT of questions answered, thanks alot everyone. Anyway my last ferret task is too get the results sorted by a field called date_registered and have this working with pagination. here is what i''m doing at the moment:

Just to inform: I posted that before in R-sig-ecology but as it might be interesting also for other useRs, I post it also to the general r-user list: Hello Alexandre, thank you very much. I also found another way to extract summarizing information from lm results over e.g. 1000 repeated model runs: results2 <- t(as.data.frame(results)) summary(results2) Although some questions popped up in

Hello, I have a ferret index with 2 fields: Acts_as_ferret :fields => [:client, :content] If I do model.find_by_contents(query) I obtain all results by the query but I would like to obtain 3 results for each client. Any ideas? Thanks for all. -- Posted via http://www.ruby-forum.com/.

Hi! I'm trying to catch all warning-messages for special handling. It seems options (warning.expression=myfunc ()) can be used for that. However, the question is: How can I get at the actual warning in myfunc ()? Apparently in S, you can use .C("get_last_message") for that. Is there a similar mechanism in R? Thanks for your help! Thomas

Hi! I'm trying to catch all warning-messages for special handling. It seems options (warning.expression=myfunc ()) can be used for that. However, the question is: How can I get at the actual warning in myfunc ()? Apparently in S, you can use .C("get_last_message") for that. Is there a similar mechanism in R? Thanks for your help! Thomas

Dear R-SIG-Debian, I am using R version 3.1.2 with rstudio-server 0.98.113 on debian build 3.2.0-4-amd64 #1 SMP Debian 3.2.68-1+deb7u1 x86_64 GNU/Linux. I often use the %dopar% operator in from the foreach package to run code in parallel. However, the only other use on the box seemingly installed a few items and suddenly %dopar% will use far more than the number of cores I am specifying and