similar to: share mounted MANY times...

Hi All I am having 2 very long character strings (550chars) and I want to put them as expressions together with c(). The problem is that I also get these double-quotes, as seen below in 'fct'. How can I remove these double-quotes? I tried as.name() but it did not work (because of size?). These are creating trouble with subsequent programs, which I tested with strings that for some

Hi, I'm working on writing a FLAC encoding plugin for a personal cd ripping project of mine which uses paranoia for the raw audio extraction. My basic setup which follows gets me oddly high pitched audio with lots of noise (although the music IS somewhat recognizable). #include <FLAC/stream_encoder.h> FLAC__StreamEncoder *encoder; FILE *output_file_descriptor; encoder =

Jean-Marc, I'm an embedded systems designer and am in the process of selecting a hardware platform to run a Linux-Speex VoIP application. Being concerned with size and power consumption I must choose a processor with a minimal amount of computational power. To that end I've narrowed my search to number of different products that reference the popular "SiSoft Sandra(TM)"

Dear listers, I have two questions: (1) Is there a way in R to change the base-n of the calculations. I wnat to run some calculations either in binary (base-2) or base-4. Is there a way to specify that in R - to chnage from the decimal? (2) I also want to extract the digits from a larger number and store them as a vector. I could do it through converting top string, parsing the string and

I have installed lme4 library, but when I try something with lmer() function, I receive error message. On the other hand, I can use lme() function from the same library. Are those two the very same function or not? I am a bit confused. I am using: $platform: "i386-pc-linux-gnu" $arch: "i386" $os: "linux-gnu" $system: "i386, linux-gnu" $major: "2"

This is one of those instances where a less superficial knowledge of R's technical details comes in really handy. What you need to do is convert the data frame to a single (numeric) vector for, e.g. a matrix() call. This can be easily done by noting that a data frame is also a list and using do.call(): ## imp is the data frame: do.call(c,imp) X11 X12 X13 X14 X15 X16 X17 X18 X19

Hello everyone, Thank you for this. Nonetheless it is not exactly want i need. I need mydata[[1]] to provide the values for all 3 variables (Y, X1 and X2) of the first imputation only. As it stands it returns the whole database. Any ideas? Best, ioanna ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: 24 May 2018 16:04 To: Ioanna Ioannou Cc:

Hi! I am a relatively new user of R and I use it to prepare my dissertation. I have come to some very usefull and specific libraries written for S-PLUS 4 and would like to use them in R. Is that possible? I just found out that one of these libraries has already been transfered to R, while 3 others have not. For the matter of beeing more exact I''m interested in the dealing with missing

Dear listers, I must first say that all the suggestions and help I got from the list so far was of great help to my work. I approach you with another question. Is it possible to generate an automatic specification of the formula for lme (or other models in R)? Let me clarify. I'm using models in a simulation run and can have variable number of variables in the data. I would like to generate

Hi I am new to R so I apologize if this is trivial. I am trying to predict the resistance or susceptibility of my sequences to a certain drug with a randomForest function from a file with amino acids on each of the positions in the protein. I ran the following: > library(randomForest) > > path <- "C:\\..." > path2 <- "..." > name <-

Dear listers, First let me appologize if the same mail arrives multiple times. Recently I had some probelms sending my e-mails to the list. I encountered a problem when running glmmPQL procuedure doing multilevel modeling with a dichotomous outcome. Those are the two error messages I usually get: Error in logLik.reStruct(object, conLin) : NA/NaN/Inf in foreign function call (arg 3)

Hello! I am running analysis on the data from 4 experiments, with approximately 4600 rows (cases). My working model is: fitA1 = lme(RT~F1+F2+L,random=~1|Experiment/Subject,data=data) Model works very fine, but if I try to check whether the effect of L depends on Experiments/Subjects with: fitA2 = lme(RT~F1+F2+L,random=~1+L|Experiment/Subject,data=data) [with the idea to make: anova(fitA1,fitA2)]

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I'm currently testing a process very similar to that found here: http://wiki.centos.org/HowTos/InstallFromUSBkey And would like to update that doc with my observations once confirmed. Preliminary notes (not all relevant to that specific WikiPage - suggestions for where to put the non-kickstart info? First boot partition on USB is FAT32 and uses GRUB to chainload to the second ext2

Hello everyone, I want to transform a data.frame into an array (lets call it mydata), where: mydata[[1]] is the first imputed dataset...and for each mydata[[d]], the first p columns are covariates X, and the last one is the outcome Y. Lets assume a simple data.frame: Imputed = data.frame( X1 = c(1,2,1,2,1,2,1,2, 1,2,1,2,1,2,1,2), X2 =

HI all, I might add some more information in order to possibly solve my problem. I'm really stuck and no obvious solutions do the trick. I'm using R 1.7.1 on Windows 2000 with the packages regurarly updated. I'm using hypothetical data constructed as a pseudo population conforming to a certain Var-Cov structure. I might add that just > predict(level2) works. But when I add the

Hello ! I am really happy to find this list. I am not new to R but to Debian or Linux in general. Up to now I used R on MS Windows but now I want to use R on Debian lenny. I have absolutely no experience with Debian. I was able to install R 2.11 on my system using the instruction in the readme on CRAN. I can open R in the shell. On windows I used R with the R GUI or with Tinn-R. Is there the

Dear listers, I can't find the variance or se of the coefficients in a multilevel model using lme. I want to calculate a Chi square test statistics for the variability of the coefficients across levels. I have a simple 2-level problem, where I want to check weather a certain covariate varies across level 2 units. Pinheiro Bates suggest just looking at the intervals or doing a rather

Dear Helpers, I am new in Linux and R, trying to update packages I need in my work, but repeatedly I failed for reasons I do not understand. First, I use: > update.packages() Then, I choose nearest mirror and accept update of 'Design' package: > Design : > Version 2.0-9 installed in /usr/lib/R/site-library > Version 2.0-12 available at http://cran.r-mirror.de > Update

At 01:08 PM 6/17/2006, B. Ryan Newberry wrote: >Hi, > >I'm working on writing a FLAC encoding plugin for a personal cd ripping >project of mine which uses paranoia for the raw audio extraction. My >basic setup which follows gets me oddly high pitched audio with lots of >noise (although the music IS somewhat recognizable). > >#include <FLAC/stream_encoder.h> >