similar to: recoding variables again :(

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Hello everyone, I have the following problem: My analysis includes many predictor variables (>50) in the form of raster maps (asc), but I am trying to avoid having to type all their names over and over again in the analysis (e.g. for vectorisation, for deletion of NA's, etc.) So ideally I would like to store them in some way that their names only have to be typed once and can always

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From: Nate Studer <nate.studer@dornerworks.com> Add a utility function to update the rest of the timeslice accounting fields when updating the timeslice of the credit scheduler, so that capped CPUs behave correctly. Before this patch changing the timeslice to a value higher than the default would result in a domain not utilizing its full capacity and changing the timeslice to a value lower

I've imported a .csv file where character strings that contained accented characters were written as HTML character entities. Is there a function that works on a vector to translate them back to accented (latin1) characters? Some examples: > grep("&", author$lname, value=TRUE) [1] "Fr&egrave;re de Montizon" "Lumi&egrave;re" [3]

Having dsync to make backups from existing mail-spaces, it would be nice to make dsync syncing the sieve-dirs too. -Otherweise backups aren't complete... Peer -- Heinlein Professional Linux Support GmbH Linux: Akademie - Support - Hosting http://www.heinlein-support.de Tel: 030 / 40 50 51 - 0 Fax: 030 / 40 50 51 - 19 Zwangsangaben lt. ?35a GmbHG: HRB 93818 B / Amtsgericht

Hi A.K Regarding my question on comparing normal/ obese/overweight with blood pressure change, I did finally as per the first suggestion of stacking the data and creating a normal category . This only gives me a obese not obese 14, but when I did with the wide format hoping to get a obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the models. This time I classified obese=1

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Hi, i'd like to establish a HA-Cluster with two nodes. My services will run inside vm's, the vm's are stored on a FC SAN, so every host has access to the vm's. But how can i keep the config files (xml-files under /etc/libvirt/qemu) synchronised ? Is there a possibility to store the config files somewhere else ? E.g. a partitition with ocfs2 on the SAN ? If not, what would you do

Hi, Sorry, but how did you bring it out? Thanks On Fri, Dec 28, 2012 at 8:48 AM, arun kirshna [via R] < ml-node+s789695n4654093h10@n4.nabble.com> wrote: > Hi, > bp.sub<- structure(list(CODEA = c(1L, 3L, 4L, 7L, 8L, 9L, 10L, 11L, 12L, > 13L, 14L, 16L, 17L), C45 = c(NA, 2L, 2L, 2L, 2L, 1L, NA, 1L, > 1L, 2L, 1L, 2L, 1L), ragek = c(3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, > 3L, 3L,

Dear all, I got an issue trying to parse excel files in parallel using XLConnect, the process hangs forever. Martin Studer, the maintainer of XLConnect kindly investigated the issue, identified rJava as a possible cause of the problem: This does not work (hangs): library(parallel) require(rJava) .jinit() res <- mclapply(1:2, function(i) {

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Dear R-helpers, I am helping a SAS user run some analyses in R that she cannot do in SAS and she is complaining about R's peculiar (to her!) way of recoding variables. In particular, she is wondering if there is an R package that allows this kind of SAS recoding: IF TYPE='TRUCK' and count=12 THEN VEHICLES=TRUCK+((CAR+BIKE)/2.2); Thanks for any help or suggestions you might be able

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Hello everyone, I can not get the name of the recoding file of agents calls. I set agents.conf as following: ; Enable recording calls addressed to agents. It's turned off by default. recordagentcalls=yes ; ; The format to be used to record the calls (wav, gsm, wav49) ; By default its "wav". ;recordformat=gsm ; ; Insert into CDR userfield a name of the the created recording ; By

I'm having a bit of trouble recoding factors in a fields. I have a field which has the factors Singleton, Twin and Triplet. I want to recode the field to have only the factors Singleton and Multiple. Any advice? Cheers, Neil

I have a text file full of numbers (it's a edgelist for a graph) and I would like to recode the numbers as they are way too big to work with. So for instance the following: 676529098667 1000198767829 676529098667 100867672856227 676529098667 91098726278 676529098667 98928373 1092837363526 716172829 would become: 0 1 0 2 0 3 0 4 5 6 i.e. all 676529098667 would become

Hello, I have struggled, for longer than I care to admit, with this seemingly simple problem, but I cannot find a solution other than the use of long drawn out ifelse statements. I know there has to be a better way. Here is stripped down version of the situation: I start with: a <- c(1,0,1,0,0,0,0) b <- c(1,1,1,1,0,0,0) c <- c(1,1,0,1,0,0,0) rbind(a,b,c) [,1] [,2] [,3] [,4] [,5]

Dear R helpers, I have a data frame where missing values for numeric variables are coded as 999. I want to recode those as NAs. The following only partially succeeds because numeric variables are converted to character in the process: df <- data.frame(a=c(999,1,999,2), b=LETTERS[1:4]) is.na(df[2,1]) <- TRUE df a b 1 999 A 2 NA B 3 999 C 4 2 D is.numeric(df$a) [1] TRUE

Dear R list, I have an event history data set that is structured like this: Legislative act Discussion Agreement Time Event Act1 2006-05-30 2006-06-19 20 1 Act2 2004-03-01 2004-06-14 105 1 . . . I have information on the meetings in the legislature between adoption periods in a separate variable (the