similar to: Reg-NC module

firefox-1.5.0.2-2.1.c4.centos.i386.rpm in the testing repo produces this error when running it as non-rrot and also as root Firefox could not install this item because "install.rdf" (provided by the item) is not well formed or does not exist. Please contact the author about this problem. How to reproduce this message :- 1. download and upgrade firefox-1.5.0.2-2.1.c4.centos.i386.rpm

Dear list, I' m studying FLAC performance, and I'd like to know how much compression can be achieved for different audio files. 1) It seems that for nontonal sound (wideband noise), the compression factor is better than for compound sound (tones + nontonal components), which is typically 2. The reason for this result could be the following: the LPC filter is more suitable for

Hi Arnaud, I'm glad to hear that your test case is working. I however still get my wrong allocation in some non trivial cases : the > pairing constraint is not fulfilled. > > I have tried to modify the 'ensure pairable' pass (the pass undoing some > of the coalescer's work) to always insert register copies for > instructions with the pairable constraint, instead of

Hi Lang, Thanks a lot for taking time to look into this. I will test the fix soon and let you know the results. Cheers, -- Arnaud de Grandmaison On Tuesday, April 03, 2012 17:30:33 Lang Hames wrote: > Hi Arnaud, > > Apologies for the delayed reply. > > Thank you for the excellent test case - it exposed a subtle bug in the > colorability heuristic. This has been fixed in

Dear R Community, I am currently student at the Vienna University of Technology writing my Diploma thesis on causality in time series and doing some analyses of time series in R. I have the following questions: (1) Is there a function in R to estimate the PARTIAL spectral coherence of a multivariate time series? If yes, how does this work? Is there an test in R if the partial spectral

Dear list, i would like to build an own package using: R CMD INSTALL --html --build --auto-zip -l folder spectral.methods it seems to succeed as I get the following messages: * installing *source* package 'spectral.methods' ... ** R ** data Warning: empty 'data' directory ** preparing package for lazy loading ** help *** installing help indices converting help for package

Hi, I'm new to R and looking for a way to use a variable to reference to an object. I'm plotting several graphs on top of each other and want to do this by a for loop. The field I want to graph have names like a1,a2,a3, ... I can't figure out how to get this working: It should look like this: lines(spectral$Wavelength,paste("spectral$a",j,sep=""),col=j) but

I used the AR modelling written for R (S) on blood pressure and heart rate signals. I used 60 one second samples and a model order of 20. I used the "ar" finction in the "ts" package. Given that blood pressure is measured in mmHg would the spectral density (on the graph displayed be [mmHg]sq/Hz ? And the heart rate is measured in Beats Per Minute (bpm) - so would the

I found this sentence in the Ogg format specs: http://www.xiph.org/ogg/vorbis/doc/vorbis-spec-res.html "A residue vector may represent spectral lines, spectral magnitude, spectral phase or hybrids as mixed by channel coupling." But where does the spectral phase information come from ? AFAIK MDCT doesn't provide any phase information. And in OGG-encoding, MDCT is taking place a few

Thread-split from the vorbis-mailing list ("Vorbis determined to be as good as MPC at 128 kbps!") <p>On Sun, 30 May 2004, Segher Boessenkool wrote: [Steven So] SS>> If iTunes AAC can encode castanets with much less pre-echo at SS>> ABR 128 kbps, then hopefully there will be an imaginative SS>> (and non-patented) way of doing this in Vorbis without the SS>>

Hi all, I am dealing with paleoceanographic data and I have a C14 time serie and one other variable. I would like to perform a spectral analysis (fft or wavelet) and plot it. Unfortunately I don't know the exact script to do this. Does anybody could send me an example to perform my spectral analysis ? I Thank you David Changez de tête et de tenue tous les jours si vous le voulez !

I compared quicktime aac and vorbis,i think quicktime aac is better than vorbis at 80Kbps. please tell me if i'm wrong. using command: qtaacenc.exe --tvbr 31 --highest --samplerate keep test.wav qt.m4a oggenc2.exe --raw -q 1.6 test.wav -o vorbis.ogg the version: qtaacenc version 20100725 with QuickTime 7.6.7 OggEnc v2.87 (libvorbis 1.3.1) links:

Can someone explain me this spec.pgram effect? Code: period.6<-c(0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10 ,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10) period.5<-c(0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10 ,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0) par(mfrow=c(2,1))

Hi Lang, The assert is not triggered any longer on my testcases :) I however still get my wrong allocation in some non trivial cases : the pairing constraint is not fulfilled. I have tried to modify the 'ensure pairable' pass (the pass undoing some of the coalescer's work) to always insert register copies for instructions with the pairable constraint, instead of being smart and

Dear collegues, I´ ve worked with near infrared (NIR) spectroscopy to assess chemical, physical, mechanical and anatomical properties of wood. I use "The Unscrambler" software to correlate the matrix of dependent variables (Y) with the matrix of spectral data (X) and I would like to migrate to R. The matrix of spectral variables is very large (2345 columns and n lines, where n =

I have done a fair bit of spectral analysis, and hadn't finished collecting my thoughts for a reply, so hadn't replied yet. What exactly do you mean by normalize? I have not used the functons periodogram or spectrum, however from the description for periodogram it appears that it returns the spectral density, which is already normalized by frequency, so you don't have to worry about

Dear sirs, My name is Marcelo Grimaldi and i work for General Electric in the Six Sigma Program. Recently I became very interested in spectral analysis, because I think it can be applied to my job. I use Minitab 12 and i have heard that writing macros for spectral analysis in this software is very difficult. Could I perform this analysis in a easier way throught "R" ? Have you ever

Dear List-Members, I would like to draw the amplitudes of different frequencies from a time series as shown in the attached figure. Does anybody has an idea how to do it? Best wishes Thomas -------------- next part -------------- A non-text attachment was scrubbed... Name: milankovich.pdf Type: application/pdf Size: 93605 bytes Desc: not available Url :

All, I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read: library(pls) data(yard) yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")

Hello world, I am actually trying to transfer a lecture from Statistica to R and I ran into problems with spectral analysis, I think I just don't get it 8-( (The posting from "FFT, frequs, magnitudes, phases" from 2005 did not enlighten me) As a starter for the students I have a 10year data set of air temperature with daily values and I try to get a periodogram where the annual