similar to: na.omit error message

After sending a messasge about a problem (The folder 'Inbox' cannot contain items. Namespace problems) I found what seems to be a fix in the release for rc29. Besides any potential configuration files, do I need to delete the old index files? Any of the dovecot files? Based on the release notes for rc29 it seems the following will fix the problem we are experiencing: IMAP: LIST

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@r-project.org # ###################################################### Is this intended behavior for the read.fwf(na.strings="-999")? I anticipated that

I have cobbled together the following logic. It works but is very slow. I'm sure that there must be a better r-specific way to implement this kind of thing, but have been unable to find/understand one. Any help would be appreciated. hh.sub <- households[c("HOUSEID","HHFAMINC")] for (indx in 1:length(hh.sub$HOUSEID)) { if ((hh.sub$HHFAMINC[indx] == '01')

I moved a Quickbooks Pro file to our Samba server (v 2.0.7) during an effort to centralize some stuff in our organization. Before moving the file to the samba server it was shared from a users NT Workstation. I don't consider this a viable long term solution. Anyway ... here it goes with my problem report .... :-) So I moved the Quickbooks file to the Samba server, setup an Accounting share

Recently thunderbird and Dovecot IMAPS cannot agree on SSL however Evolution, on the exact same system, is working fine with the same accounts. Tried recreating the Dovecot cert and also the thunderbird accounts from scratch. The OpenSSL raw client works fine as well. Would someone also confirm the openssl commands to create a selfsigned cert for dovecot imaps. They cert created does work

Hi, I have a data.frame with 100 variables and I have assigned a "label", "units" and "category" attribute to each variable. I would like to reorder the variables in the data.frame by the "category" attributes but can't find a way. For example, the first variable is: > attributes(hh$aez) $levels [1] "coastal" "forest"

Hello, This is a selfsigned cert. Both of the below methods were used. May I ask for 1. pointer to info setting up "intermediate certs" and where the certfile goes? The objective is to generate a self-signed cert and use it for just internal use with IMAPS dovecot. Separately, what are your thoughts as to why evolution works and thunderbird does not? Thank you, ==1 openssl

I would expect the public cert to be imported as a "server" not an "auth" The attached image shows that TBird wants an httpS url for a webserver, for the source. Ages ago, I think it prompted for "do you want to trust this new cert" and YES added it (assuming that is the public key) to the server list.? A bit confused by this. <see attached thunderbird

Hello, I am in Win-XP R:2.3.0 latest rtools and Perl - of today I got Rcmdr.HH source code and tried to compile it myself copy all directory to R/R-2.3.0/src/library/Rcmdr.HH from R/R-2.3.0/src/library I typed: ..\..\bin\R CMD build --force --binary --auto-zip Rcmdr.HH * checking for file 'Rcmdr.HH/DESCRIPTION' ... OK * preparing 'Rcmdr.HH': * checking DESCRIPTION meta-information

Hola a todos La cuestión es una tontería, me gustaría recodificar los NA (valores faltantes) por el valor 0 He probado varias cosas del estilo: > hh<-c(2,3,4,NA,4) > replace(hh,which(hh==NA),0)->hh > hh [1] 2 3 4 NA 4 Conocéis alguna forma. Saludos

Hello everyone, I'm trying to estimate the parameters of the returns series attached using the GARCH code below, but I get the following error message: Error in solve.default(Hessian) : system is computationally singular: reciprocal condition number = 0 Error in diag(solve(Hessian)) : error in evaluating the argument 'x' in selecting a method for function 'diag' Can

I needed to compute a complicated cross tabulation to show weighted means and standard deviations and the only method I could get that worked uses a series of nested for next loops. I know that there must be a better way to do so, but could use some assistance pointing the way. Here is my working, but inefficient script: library(Hmisc) rm(list=ls()) load('NHTS.Rdata') day.wt <-

This is related to my post about .chm where vitamin set me on the right path. http://forum.winehq.org/viewtopic.php?t=1026 Since then I reinstalled Ubuntu 8.04 and wine. While perusing the virgin registry I noticed the chm.file ...command key was: C:\windows\system32\hh.exe %1 There is no hh.exe located in that directory. The hh.exe file is located in the C:\windows\ directory. If wine uses the

Readers, I am trying to use the zoo package with an array of data: file1: hh:mm:ss 1 hh:mm:ss 2 hh:mm:ss 3 hh:mm:ss 4 file2: hh:mm:ss 11 55 hh:mm:ss 22 66 hh:mm:ss 33 77 hh:mm:ss 44 88 I wanted to merge these data set so I tried the following commands: library(chron) library(zoo) z1<-read.zoo("path/to/file1.csv",header=TRUE,sep=",",FUN=times)

Hello R-list-members, I'm trying to model ARMA(0,2) & GARCH(1,1) process using the code below, but according to my textbook, the estimated parameters are wrong. The MA-parameters should be negative. (I've got the same problem using garchFit()). Can anyone tell me what I'm doing wrong? And how can I calculate the hessian matrix? Many thanks, Desislava Kavrakova Code:

Hi all, I need to compare between times and put all similar times in specific 1 minute bins. Unfortunately the original data include seconds as well. My data is in HH:MM:SS format but I need it rounded to only HH:MM and trying in Excel to display "unique" records only does not work since the seconds are not unique. Is there an easy way using perhaps CHRON to change all from the

Dear R-Users I have a problem accessing some values in the output from the summary of an lme fit. I fit the model below: ggg <- lme (ST~ -1 + as.factor(endp):Z.sas + as.factor(endp), data=dat4a, random=~-1 + as.factor(endp) + as.factor(endp):Z.sas|as.factor(trials), correlation = corSymm(form=~1|as.factor(trials)/as.factor(id)), weights=varIdent(form=~1|endp)) hh

Oops -- I should have tested it without libraries loaded :-) The conflict must be with the HH package. I tested the example again using all the packages required by HH and do get the correct results, but once the HH package is loaded, the TukeyHSD function returns "height" and the plot command gives the error described previously. Should I report this bug directly to the authors of

Good day R-Users, I have a problem accessing some values in the output from the summary of an lme fit. The structure of my data is as shown below (I have attached a copy of the full data). id trials endp Z.sas ST 1 1 -1 -1 42.42884 1 1 1 -1 48.12007 2 1 -1 -1 43.42878 2 1 1 -1

HI, GUYS, I used the following codes to run SVM and get prediction on new data set hh. dim(all_h) [1] 2034 24 dim(hh) # it contains all the variables besides the variables in all_h data set. [1] 640 415 require(e1071) svm.tune<-tune(svm, as.factor(out) ~ ., data=all_h, ranges=list(gamma=2^(-5:5), cost=2^(-5:5)))# find the best parameters. bestg<-svm.tune$best.parameters[[1]]