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...ied again and again in some other variables. In the worst case I'll check all code by myself to ensure it but in this case the application won't force programmers to take it in consideration which is what I am really looking for. Any advice will be highly appreciated :P Thanks! -- *David Cassany Viladomat Software Developer Transmural Biote**ch S.L* [[alternative HTML version deleted]]

Hi Mario, Mario Cassani wrote: > Hallo Arnaud, > some months ago I bought an SBS GC400 UPS. > I came with a kit RS232 + UPSmart CDROM that works only with RedHat 7.0-7.3. > As I use Debian I tried alien with no success. > > Can you please provide me with any hint to understand if my UPS can be managed by NUT? > Can a driver be written, knowing how the cable

Hi all, Since three month ago I started working with R professionally, I never did it before, so I am such a newbie. I am having some problems using the 'debug' package. I love this package, but most of the times I wanna use it it just fails :P When typing at prompt 'mtrace(myfunct)' most of the times I get the following error: "Error in x[[i]] : subscript out of

Hi all, I'm developing an R package and I'd like to load it easly while developing, debugging and testing. I would like to load it without having to install it. Installing it causes me some problems for debugging it, as the code file it is executing it not the one I'm editing. I've seen the function sourceDirectory from R.utils package which works quite fine for me, but would be

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >

Hi all, Does anybody know a better way to call functions than using 'eval'? I need to call functions which it's name is stored in a variable. Right now create the command string I'd like to run and then I run it using "eval". Running functions inside "eval" is starting annoying because it leads to a difficult error handling and difficult scenario to debug. So

Hi all, I've been having a look to all OOP functionallity in R, basically I've been reading "Statistics and Computing" book by Chambers. My problem is that I'm thinking about refactoring many functions of the applications I work with (which is quite huge), in order to modularize its components. I believe that trying to use OOP functionality may help to reorganize and