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

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.

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

I am trying to add a constant to the previous value of a variable based on certain conditions. Maybe there is a simple way to do this that I am missing completely. I have given an example below: df <- data.frame(x = c(1,2,3,4,5), y = c(10,20,30,NA,NA)) > df x y 1 1 10 2 2 20 3 3 30 4 4 NA 5 5 NA I want to add 2 to the previous value of y, if x exceeds 3 (also will have to handle NAs in

Dear list members, is it possible to set some options only inside a function so that the original options are restored once the function is finished or aborted due to an error? Until now I do something like: dummy=function() { old.options=options(error=dummy1()) .... options(old.options) } This works for most cases but when the function terminates because of an error and its last