similar to: access environment in which an error occurred

Dear list members, I am trying to use dump.frames to debug some code that i run non interactively. I use the following method: dump.frames.mod = function() { dump.frames(dumpto = 'test', to.file = TRUE) quit(save = 'no', status = 10) } options(error = dump.frames.mod) Is there any way to acess the content of the global environment from the *.rda file created in

Dear R users, I am using dump.frames() to investigate the content of the different environments in cases of errors or during certain steps of a non interactive calculation. I am, however, wondering about how to see the content of the global environment at the moment that dump.fames() was invoked. Her is some test piece (careful about the rm(list=ls(), remove the # if you know what you are doing

Dear List, i run R non interactively and use option(error = dump.frames) to reconstruct the cause of errors for debugging. One of the functions in the call stack however uses the "..." (dot dot dot) argument. When I run debugger() and try to browse to this functions' environment I get the following error message: Error in get(.obj, envir = dump[[.selection]]) : argument

Added a new function, "ask_yes_or_no", to ovirt-functions. It contains a default prompt if none is provided. Changed all prompts that ask for yes, no and/or abort to use this new method. Signed-off-by: Darryl L. Pierce <dpierce at redhat.com> --- scripts/ovirt-config-boot-wrapper | 8 ++--- scripts/ovirt-config-collectd | 39 +++++++++++++++-----------

Hi , In vicidial dialer I need small Dialplan require. when i call from hardphone , in that has 1to9 no.s i want define the dipositions like when i press the 1 it will goes NotIntrest, press 2 for NotAvailable. How can i configure for this. -- Best Regards, Mahesh Katta *BUZZ**WORKS* Business Services Private Limited BANGALORE | CHENNAI | HYDERABAD | MUMBAI| DELHI 201, Crystal Tower, 75

as.character.factor contains this line (where cx=levels(x)[x]): if ("NA" %in% levels(x)) cx[is.na(x)] <- "<NA>" Is it possible that this is no longer the desired behavior? These two results don't seem very consistent: > as.character(as.factor(c("AB", "CD", NA))) [1] "AB" "CD" NA > is.na(.Last.value)[3] [1] TRUE

Dear list, i have some problems using the snow package to create a SOCK cluster. The errors just occour irregularly but it seems to me that they occour when I try to create more than one cluster on the same machine via different R instances started via submitting LSF jobs to a cluster. Does anyone have an idea how to solve this or where to start digging for solutions? The error messages

Hi R users, Can anyone share some example code using merge_all (from the reshape package) to merge 10 data frames into 1 file. Thanks in advance for any help! -- View this message in context: http://www.nabble.com/Merge-10-data-frames-with-3-id-columns-that-are-common-to-all-data-frames-tp22402493p22402493.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I'm looking at some suggestions from you techies out there. Let me explain my scenario. Im a reseller to callshops. I need to take around 100 concurrent calls. Almost all endpoints are sending G723 codec and my peers take G729. Can anyone recommend the Server Specs that is ideal for this scenario. Im planning to lease a server. Calls are purely SIP or IAX2 only. Thanks in advance.

Dear baseRs, I recently made a mistake when renaming data frame columns, accidentally creating an NA column. I found the following strange behavior when negative indexes are used. Can anyone explain what happens here. No "workarounds" required, just curious. Dieter Version: Windows, R version 2.6.1 (2007-11-26) #----------------------------- df = data.frame(a=0:10,b=10:20) df[,-2]

Hi there, I have a list of dataframes (generated by reading multiple files) and all dataframes are comparable in dimension and column names. They also have a common column, which, I'd like to use for merging. To give a simple example of what I have: df1 <- data.frame(c(LETTERS[1:5]), c(2,6,3,1,9)) names(df1) <- c("pos", "data") df3 <- df2 <- df1 df2$data

Dear expeRts, What is the best approach to create a third data frame from two given ones, when the new/third data frame has last column computed from the last columns of the two given data frames? ## Okay, sounds complicated, so here is an example. Assume we have the two data frames: df1 <- data.frame(Year=rep(2001:2010, each=2), Group=c("Group 1","Group 2"), Value=1:20)

Hey Folks, Could somebody show me how to loop through a list of dataframes? I want to be able to generically access their elements and do something with them. For instance, instead of this: df1<- data.frame(x=(1:5),y=(1:5)); df2<- data.frame(x=(1:5),y=(1:5)); df3<- data.frame(x=(1:5),y=(1:5)); plot(df1$x,df1$y); plot(df2$x,df2$y); plot(df3$x,df3$y); I would like to do something like:

Dear All, I've had trouble compiling DPpackage as a user in one system. It works fine as root in other machines. I can see any clues in error messages My guess is that it is a permissions matter. Any help is appreciated. OS: Linux Kernel: 2.6.27 SMP Arch: Intel 64 bits gfortran not available Thank you. ----------------------><8------------------------------------- g77 ? -fpic ?-g

Hi, i'm very new to R, so sorry for what i'm sure is a very basic question. I'm producing a boxplot with the data below: df3<-data.frame( x=c(10,11,115,12,13,14,16,17,18,21,22,23,24,26,27,28,29,3,30,32,33,34,35,4,4 1,45,5,50,52,56,58,6,67,6738,68,7,8,9), fq=c(8,11,1,2,4,4,2,2,6,3,4,2,2,1,1,1,4,51,3,1,1,1,1,35,1,1,19,2,1,1,1,14,1, 1,1,10,13,5),

Dear group, Here is my df : df3 <- structure(list(DESCRIPTION = c("COPPER May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SUGAR NO.11 Jul/10", "SUGAR NO.11 May/10", "WHEAT Jul/10", "SPCL HIGH GRADE ZINC USD",

Simple illustration, > df3 <- data.frame(id=c(3,2,1,4), age=c(40,50,60,50), dose1=c(1,2,1,2), dose2=c(2,1,2,1), dose4=c(3,3,3,3))> df3 id age dose1 dose2 dose41 3 40 1 2 32 2 50 2 1 33 1 60 1 2 34 4 50 2 1 3> melt.data.frame(df3, id.var=1:2, na.rm=T) id age variable value1 3 40 dose1 12 2 50 dose1 23 1

Dear list, this might be an easy one, but I could figure out a solution (or how to google the right term). Is there any way to test whether all elements of a vector are identical? For numeric vectors I would use sum(diff(vector)==0)==0 but I have character vectors. Any Ideas? Cheers Jannis

Hello, My problem is that I would like to merge multiple files with a common column but merge accepts only two data.frames to merge. In the real situation, I have 26 different data.frames with a common column. I can of course use merge many times (see below) but what would be more sophisticated solution? For loop? Any ideas? DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) DF2 <-

Hallo Everyone I have the kind of problem that one should never have because one must always plan well and communicate with your team. But now I haven't so here is my problem. I have data coming in on a daily basis from surveys in 10 towns. The questionnaire has 62 variables but some of the regions have used older versions of the questionnaire that have a few variables less. I want to combine