similar to: ggplot2: ordering categorial data

Hi All My system is CentOS release 4.4 (Final) and for the last few days my system si getting rebooted ... i really cant find out any reason why ... but on the messages found in the var/log/ ...here is what i got . Aug 10 04:31:34 spam2 kernel: FAILED Aug 10 04:31:34 spam2 kernel: status = 1, message = 00, host = 0, driver = 08 Aug 10 04:31:34 spam2 kernel: Current sd: sense key Illegal Request

Hi, # I messed with the identities in my MUA and sent the email with a non registered address, sorry for the incinvenience ## I'm not able to make cmusieve to work to filter emails. Below is my configuration. I'm using a .dovecot-sieve example from the wiki: require "fileinto"; if exists "X-Spam-Flag" { ? fileinto ".Junk/"; } I've been following

Hi all- I''m hoping someone can help me with this problem with Xen under CentOS 5.1 (RHEL 5.1) I''m having... This is the Xen package that comes stock with the distribution, I didn''t compile it from source. I can boot Domain0 and the hypervisor just fine. I''m trying to bring up a Xen guest VM and it crashes on boot, with this error: # xm create -c tcga1

@2.0's master.conf, there's, e.g., service config { type= config executable =config unix_listener { path = config mode = 0666 } } can someone please explain function/usage for the 'type', 'executable' & 'path' fields? and, for any file paths, are the presumed to be _relative_ to the dovecot executable? in $PATH? can they accept full/absolute

https://bugzilla.samba.org/show_bug.cgi?id=7683 Summary: New rsync deletes destination files it shouldn't Product: rsync Version: 3.0.7 Platform: x86 OS/Version: Linux Status: NEW Severity: critical Priority: P3 Component: core AssignedTo: wayned at samba.org ReportedBy:

Hi there fellow R users, R has many different clustering packages (e.g. mclust,cluster,e1071). However, can anyone recommend a method to deal with data sets that contain categorial and continuous variables? Regards Wayne KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company Registration Number 2800886 Tel: +44 (0) 161 228 0040 Fax: +44 (0)

Dear all, in a previuos message was asked how get the mode of continous distribution. Now I'm asking if there an R function to obtain the mode in case of a discrete distribution or categorial data. The only way is to use table(): > x<-rep(1:5,100) > s<-sample(x,40) > t<-table(s) > t s 1 2 3 4 5 13 10 5 4 8 the mode is value=1 Thanks Cordially Vito =====

Hi All, I have a data set containing : pclass: A factor giving the class of the passenger: one of 1st, 2nd, 3rd. age The age of the passenger in years. sex Passenger's gender: female or male age.group Passengers age group, one of 0?9 , 10?19, 20?29, 30?39, 40?49, 50?59, 60?69, 70?79 survived Passenger's survival (1=survived, 0=did not survive)

Hi All, I am working on an example where the electric utility is investigating the effect of size of household and the type of air conditioning on electricity consumption. I fit a multiple linear regression Electricity consumption=size of the house hold + air conditioning type There are 3 air conditioning types so I modeled them as a dummy variable Type A Type B Type C Where type A is the

Dear R-List, I would like to recode categorial variables into binary data, so that all values above median are coded 1 and all values below 0, separating each var into two equally large groups (e.g. good performers = 0 vs. bad performers =1). I have not succeeded so far in finding a nice solution to do that in R. I thought there might be a better way than ordering each column and recoding the

Dear R-List, I would like to recode categorial variables into binary data, so that all values above median are coded 1 and all values below 0, separating each var into two equally large groups (e.g. good performers = 0 vs. bad performers =1). I have not succeeded so far in finding a nice solution to do that in R. I thought there might be a better way than ordering each column and recoding the

Thanking John for his suggestion I build this function which get the mode of both categorial and discrete data. Mode<-function(x){t<-table(x) if (is.numeric(x)) as.numeric(names(t)[t == max(t)]) else (names(t)[t == max(t)]) } Any other improvement and suggestion will welcome. Best Vito > s [1] 1 1 6 1 1 7 6 5 6 2 1 4 5 6 6 7 3 5 4 1 7 3 7 3 3 7 7 2 1 4 4 2 7 7 6 6 1 2 [39] 5 1 7 7

Hi all there I am enjoying R since 2 weeks and I come to my first deadlock, il am trying to use predict.Arima in the ts package. I get a "Error in cbind(...) : cannot create a matrix from these types" -- Start R session ----------------------------------------------------- > fitdiv <- arima(data, c(2, 0, 3), xreg = y ) ; print(fitdiv) Call: arima(x = data, order = c(2, 0, 3),

Hi all there I am enjoying R since 2 weeks and I come to my first deadlock, il am trying to use predict.Arima in the ts package. I get a "Error in cbind(...) : cannot create a matrix from these types" -- Start R session ----------------------------------------------------- > fitdiv <- arima(data, c(2, 0, 3), xreg = y ) ; print(fitdiv) Call: arima(x = data, order = c(2, 0, 3),

Dear all, I'm using R 2.8.1 under Windows Vista on a dual core 2,4 GhZ with 4 GB of RAM. I'm trying to reproduce a result out of "Analysis of Financial Time Series" by Ruey Tsay. In R I'm using the fGarch library. After fitting a ar(3)-garch(1,1)-model > model<-garchFit(~arma(3,0)+garch(1,1), analyse) I'm saving the results via > result<-model

https://bugzilla.samba.org/show_bug.cgi?id=12781 Bug ID: 12781 Summary: rsync library Product: rsync Version: 3.1.3 Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: core Assignee: wayned at samba.org Reporter: ildar at altlinux.ru

I ran into an interesting issue with `evalq` (and also `eval(quote(...))`): ???? f <- function() { ?????? list( ???????? sys.parent(1), ???????? evalq(sys.parent(1)), ???????? evalq((function() sys.parent(2))()),? # add an anon fun layer ???????? evalq((function() sys.parent(1))()) ?????? ) ???? } ???? res <- f() ???? str(res) ???? ## List of 4 ???? ##? $ : int 0???????? # sys.parent(1)

Hi, is there a function or an easy way to convert a variable with continuous values into a categorial variable (with x levels)? here is what I mean: I want to transform x: x <- c(3.2, 1.5, 6.8, 6.9, 8.5, 9.6, 1.1, 0.6) into a 'categorial'-variable with four levels so that I get: [1] 2 2 3 3 4 4 1 1 so each element is converted into its rank- value / categorial-value (in

Hi all, Suppose I have a 4 x 2 matrix A and I want to select the values in second column such that the value in first column equals to k. I gave the colnames as alpha beta, so I was trying to access the info using A$beta[A[,1]==k], however, I was told it's not a data frame, I can get the object by using dollar sign. I tried data.frame(A), but it didn't work. Any input

Hi, Can we get the code for calculating Oja median for multivariate data Thanks and Regards Rahul Agarwal Analyst Equities Quantitative Research UBS_ISC, Hyderabad On Net: 19 533 6363 [[alternative HTML version deleted]]