similar to: [xts, quantmod] segfault probelm when I work with memcpy function

Hello, I have a perl program which produces the input. Instead of print it to a file then let R read the file, I want to let R to read the input directly from the perl output, I am using a PERL IPC::open2 module for this, local (*Read,*Writer); $pid = open2(\*Read, \*Writer, "R --no-save --slave< my.R") #input to R for(){ print Writer data; } close Writer; #R output

Hi all, I would like to flag each record in the data according to certain conditions as specified below. For example, If "Close_date" in *dat* is between ("Open" & "Close") or ("Open1" & "Close1") or ("Open2" & "Close2") in *oc, *flag the records as "Valid", otherwise "Invalid" I would like to

Hello- Does anyone have a recommendation on how to call R from perl? I'm using the IPC::Open2 module, and running R with the --slave and --quiet options. The problem is that I can't predict how many lines of output I should try to read for each command-- if any! The ultimate goal is to use perl to provide a form-driven web interface, but have R do the underlying calculations. Thanks

In my previous mail the last line was supposed to be: "It turns out I probably won''t use fork unless support FOR STREAMS is added to it." aslak

Hi all, The topic of creating a unified API for open3 for Windows came up at RubyConf 2004 this year. Park, I was wondering if you would mind if we modified win32_popen so that the API matches the open3 library that ships with Ruby. This also means deciding whether or not to leave in the open2, open4, and posix stuff. I guess it doesn''t hurt to leave this in, although Open3.open4

domUloader potentially makes my life a lot easier, but from experiments and looking at the code, it doesn''t seem like there is any way to pass kernel command line arguments with it. Am I just missing something? Thanks, John Byrne _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

Dear all, This question may be too basic quesition for this list, but if someone has time to answer I will be happy. I have tried to find out, but haven't found a consice answer. As an example I use "Pinheiro, J. C. & Bates, D. M. 2000. Mixed-effects models in S and S-PLUS. Springer, New York." page 225, where rats are fed by 3 different diets over time, which body mass has

Hello, I am trying to communicate with R from a perl program. Because this code must be deployed on systems that are outside of my control I do not wish to pursue the RSperl.pm approach which requires that R be compiled to use shared libraries. I have a custom, light weight module I have used with other command line driven programs like Ferret and Grads. This module follows the standard perl

Hi, I'm still trying to figure out that GLM procedure in SAS. Let's start with the simple example: PROC GLM; MODEL col1 col3 col5 col7 col9 col11 col13 col15 col17 col19 col21 col23 =/nouni; repeated roi 6, ord 2/nom mean; TITLE 'ABDERUS lat ACC 300-500'; That's the same setup that I had in my last email. I have three factors: facSubj,facCond and facRoi. I had this pretty

First of all, GREAT WORK! I now have my very own Windoze domain thanks to Samba :) Now, getting Samba to work fully on OpenBSD was harder than I'd think it would be. To get smbd to compile somewhat cleanly, I had to hack ./source/include/config.h thusly: remove USE_SETREUID, add USE_SETEUID. Then, I hacked sec_ctx.c like the attached diff shows, to get rid of some assert_gid panic when

Hi, I got some problems while was trying to download data from Yahoo using yahoo.get.hist.quote() function. My script is as follows : app <- yahoo.get.hist.quote("aapl", start="02/07/09", end="02/07/06", quote="close") However I got following error : trying URL

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

I have a xts object made of daily closing prices I have acquired using quantmod. Here is my code: library(xts) library(quantmod) library(lubridate) # Gets SPY data getSymbols("SPY") # Subset Prices to just closing price SP500 <- Cl(SPY) # Show day of the week for each date using 2-6 for monday-friday SP500wd <- wday(SP500) # Add Price and days of week together

Dear Rusers, I have met a difficult problem on explaining the differences of principal component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't met before. Althought they have got the same eigenvalues, their coeffiecients were different. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it.

I have a data set p1982, its structure is the following Then I take 20 observations from this dataset, and assign to pr. in p1982, p has 1982 levels, in dataset pr, p should have 1 levels. But I do str(pr), it shows that p still has 1982 levels. also for these > pr$aa [1] ARG THR ASP CYS TYR ASN VAL ASN ARG ILE ASP THR THR ALA SER CYS LYS THR ALA LYS Levels: ALA ARG ASN ASP CYS GLN

Hello, I need help with a partial least square regression in R. I have read both the vignette and the post on R bloggers but it is hard to figure out how to do it. Here is the script I wrote: library(pls) plsrcue<- plsr(cue~fb+cn+n+ph+fung+bact+resp, data = cue, ncomp=7, na.action = NULL, method = "kernelpls", scale=FALSE, validation = "LOO", model = TRUE, x = FALSE, y =

HI Dave, My comment was based? on: " >The main question with this test was if the interaction term is significant (i.e. growth rate). However, my question is could I also look at the p-values of the main effects to ?>say if body mass increase significant with body mass?" Here, the result shown were from the summary of the linear model.?? We report the p-values of the main

hi Michael, am sorry for the incomplete reply . csv file data havinmg like this , >getSymbols("IBM") >weekly_data = to.weekly(week_name) >dataframe=data.frame(weekly_data) >outputfile_name="F:\\R-programs\\Outputfile.csv" >write.table(dataframe, file =outputfile_name,sep = ",",col.names =TRUE,row.names = T) > datafrom_table <-

Hello folks, TL;DR: This is my proposed hashing interface based on a proposed standard hashing interface. It also is implemented with a much faster and higher quality algorithm than the current one. This is an *early draft* of the code, looking for initial feedback. There has been recent interest in improving the quality and consistency of LLVM's approach to hashing. In particular, getting

Hi folks, The following are initial virtio-scsi + target vhost benchmark results using multiple target LUNs per vhost and multiple virtio PCI adapters to scale the total number of virtio-scsi LUNs into a single KVM guest. The test setup is currently using 4x SCSI LUNs per vhost WWPN, with 8x virtio PCI adapters for a total of 32x 500MB ramdisk LUNs into a single guest, along with each backend