similar to: Loop

Hi, I'm new to the list and to dovecot. I'm having a strange situation that provides no errors, so I'm having a little problem diagnosing what's going on. I've been running a Centos 3 mail server with sendmail for our company for quite a few years. I finally got approval for new servers this year and put Centos 6.2 on it. I'm sticking with sendmail, but that's not

Hello! I get the following message when I run the mi() function from the mi package. Error while imputing variable: c3 , model: mi.polr Error in eval(expr, envir, enclos) : could not find function "c14ordered" Here's the situation: I am running R v. 2.9.2 on Mac OSX v. 10.5.8. I am trying to impute missing data in a data set that I've trimmed down to 302 variables.

Dear all, Apologies for this beginner's question. I have a variable Price, which is associated with factors Season and Crop, each of which have several levels. The Price variable contains missing values (NA), which I want to substitute by the mean of the remaining (non-NA) Price values of the same Season-Crop combination of levels. Price Crop Season 10 Rice Summer 12

Hola a todos, Soy nueva usando R y tengo unos problema en procesado de datos que quiero hacer en R. Tengo un fichero de datos en formato texto separado con ; (punto y coma). Este fichero contiene las columnas: Poblacion;Sexo;Nota; EdadP, EdadM Tengo 2 problemas que no se como tratar. 1.- Problema La columna *Poblacion* debo tenerla siempre con la primera letra en mayúsculas y tengo

Dear R users, I am working on allocating the rows within a dataframe into some factor levels.Consider the following dataframe: Start.action Start.time 1 Start.setting 2010-12-30 17:58:00 2 Start.setting 2010-12-30 18:40:00 3 Start.setting 2010-12-31 22:39:00 4 Start.setting 2010-12-31 23:24:00 5

Good evening I often have as output from simulations a list of various values, vectors and matrices. Supposing that I then run said simulation several times, I often want to extract a particular result from each simulation for plotting and, ideally, put it in a matrix. A simple example v1 <- 1:5 v2 <- 6:10 other1 <- "stuff" other2 <- "stuff" set1 <-

Dear alltogether, I experience very strange behavior of imputation of NA's with the NORM library. I use R 2.2.0, win32. The code is below and the same dataset was also tried with MICE and aregImpute() from HMISC _without_ any problem. The problem is as follows: (1) using the whole dataset results in very strange imputations - values far beyond the maximum of the respective column, >

Dear R users, I'd like to change the default order of colors & line types. Especially I am using ggplot2 and using color Set1. In Set1, the default color order is red, blue, green, violet,.. ect. However, I want to put red in fourth (not first). Likewise, I want to change the order of default linetype. I want to put "solid" line in fourth. How can I do thses? R code to draw the

When I import a simple dataset, run LDA, and then try to use the model to forecast out of sample data, I get a forecast for the training set not the out of sample set. Others have posted this question, but I do not see the answers to their posts. Here is some sample data: Date Names v1 v2 v3 c1 1/31/2009 Name1 0.714472361 0.902552278 0.783353694 a 1/31/2009 Name2 0.512158919 0.770451596

Hi Group, we're just wondering, in German we call the different types of phone-numbers (Geographic,mobile,national,VoIP...) Rufnummerngassen (phone number alleys ;-) ) Is there an english word for this? -- ----------------------------- Markus Weiler markus_weiler at mailworks.org -----------------------------

Colleagues, (R: 2.13.0; OS X) I often receive sequential datasets in which there are new rows interposed between existing rows. For example: SET1 <- data.frame(list(LETTERS=LETTERS[c(1:4, 6:10)], NUMBERS=c(1:4, 6:10))) SET2 <- data.frame(list(LETTERS=LETTERS[1:10], NUMBERS=1:10)) > SET1 LETTERS NUMBERS 1 A 1 2 B 2 3 C 3 4 D 4 5

Slowly we are getting to the point, that we miss enough optimization opportunities as the result of our own passes. For this we need to fix AlgebraicOpt to be able to handle mods on sources without creating new issues. The last patch enables looping opts. v2: update commit author Karol Herbst (3): nv50/ir: fix AlgebraicOpt for slcts with mods nv50/ir: handle logops with NOT in AlgebraicOpt

Dear all, I have two sets of data (say set1 and set2) as follow: set1 x1 x2 x3 0.30 0.43 3.88 0.38 0.59 3.53 0.30 0.42 2.12 0.33 0.53 2.12 0.30 0.47 3.76 set2 y1 y2 y3 0.32 0.47 5.18 0.23 0.26 1.06 0.42 0.65 3.88 0.28 0.38 3.76 0.35 0.47 1.41 The "pairs" function (such as pairs(~x1+x2+x3 data=set1, main="Simple Scatterplot Matrix") ) is

Hi Timo, thank you very much for your quick reply. I tried that but it is not possible to SELECT such a mailbox. I have in dovecot.conf: --- mail_location=maildir:/data/messages%h namespace private { separator = / prefix = location = maildir:/data/messages%h inbox = yes list = yes } namespace public { separator = / prefix = greetings/ location = maildir:/data/greetings%h

Dear friends, I have a data set with 23 columns and 38000 rows. It is a panel running from the years 1991 through 2005. I want to aggregate the data and get the medians of each of the 23 columns for each of the years. In other words my output should be like this Year Median 1991 123 1992 145 1993 132 etc. The sample lines of code to do this operation is set1 <-

In http://lists.llvm.org/pipermail/cfe-commits/Week-of-Mon-20120827/063200.html, consecutive bitfields are wrapped as a group and represented as a large integer and emits loads stores and bit operations appropriate for extracting bits from within it. It fixes the problem of violating C++11 memory model that original widen load/store of bitfield was facing. It also brings more coalescing

Hi All, I'm facing this issue "LLVM ERROR: Program used external function '_ZN6google4base21CheckOpMessageBuilder9NewStringB5cxx11Ev'which could not be resolved!" during execution. I've tried to 'nm' on the libraries and grep for the external function, but I've not found it in any of them. I'm fairly new to LLVM usage and not sure if there is any other

Hi all, A short while ago I asked a question about multiple imputation and I got several helpful replies, thanks! I have untill now tried to use the packages mice and norm but both give me errors however. mice does not even run to start with and gives me the following error right away: iter imp variable 1 1 Liquidity.ratioError in chol((v + t(v))/2) : the leading minor of order 1 is not

Hello! I need to compare 2 datasets whether they come from the same distribution. I use function ks.boot{Matching}. And what is the confidence level of the p-value, returned by ks.boot function? The code is: set=read.table("http://stella.sai.msu.ru:8080/~gala/data/testsets.csv", header=T,sep=',') set1=set[!is.na(set$set1),'set1']

Hi Jeremy,   I got some info on that topic from the illumos devs:   > It's a sporadic issue, you're lucky enough to not encounter it on 4.9.5. > > I confirmed in 4.10.2, it happens: > > winbindd.log:  tdb(/tmw-nas-3p/samba/var/lock/gencache.tdb): tdb_open_ex: tdb_mutex_init failed for /tmw-nas-3p/samba/var/lock/gencache.tdb: Device busy > > So either apply OS fix, or