similar to: R package for MALDI-TOF data pre-processing

Hello, I am attempting to fit a non-linear model (Von Bertalanffy growth model) to fish length-at-age data with the purpose of determining if any of the three parameters differ between male and female fish. I believe that I can successfully accomplish this goal assuming an additive error structure (illustrated in section 1 below). My trouble begins when I attempt this analysis using a model

I am using the "predict" function on a support vector machine (svm) object, and I don't understand why I can't predict on a dataset with more observations than the training dataset. I think this problem is a generic "predict" problem, but I'm not sure. The original svm was fit on 50 observations.

Dear colleague, Just an e-mail to know if they are people working in the field of chemoinformatic that are using R in their work. If yes I was wondering if we couldn't exchange tips and tricks about the use of R in this area ? Best regards Fred Ooms [[alternative HTML version deleted]]

I am trying to clear up all the "NOTE"s before a CRAN submission, but am a bit confused about this one.?? What is it complaining about -- that it doesn't like my name? ... * checking for file ?deming/DESCRIPTION? ... OK * this is package ?deming? version ?1.4-1? * checking CRAN incoming feasibility ... [7s/18s] NOTE Maintainer: ?Terry Therneau <therneau.terry at mayo.edu>?

Hi all. Has anyone ever done a Deming Regression in R? I'm wondering if there's a simple way to do it. Thanks for all your help! -Ed -- View this message in context: http://www.nabble.com/Deming-Regression-tp17949318p17949318.html Sent from the R help mailing list archive at Nabble.com.

Icecast 1.3.12 IceS 0.3 Linshout 2.0/2.1 tried Linux 2.6.7 VIA C3 architechure Hi. I have found a very interesting problem with the above setup. Icecast starts up fine, but when I try to connect with iceS I get no response. I've straced iceS and the last word comes from icecast, but waiting for more. Icecast mentions nothing during this process, but show a quick connect/lost connection when

These are my results with the Speex AGC and denoiser: Over the past couple of months, I've spent probably 10-20 hours of conversation with Speex (wideband) doing AGC + denoiser on both ends of the call. I think it does an excellent job of removing most noise while keeping speech intact. Yes, it's possible to make some constant noise (like humming) and have that get removed, but

(Cross posted to speex-dev from iglance) Enzo -- I haven't tried the fixed point engine, though I've considered it for the WinCE port. For the desktop/laptop edition I'm assuming the slight short->float conversion cost will be made up by the improved performance of the floating point implementation. But I could be wrong: 1) Can anyone recommend whether Speex performs better

Hi, All Thanks to Robert Baskin, Thomas Lumley, and Spencer Graves for the valuable helps. I have learned a lot from this discussion. I put all discussions together without editing, so we can see how things are evolved. Likely, I have a lot of articles to read. As in the discussion, mixed modeling approach is a poosible but may be over-kill in my posted data analyses. I will explore other

Full_Name: Thomas Richardson Version: R 2.9.0 GUI 1.28 Tiger build 32-bit (5395) OS: 10.4.11 Submission from: (NULL) (216.254.15.72) I have encountered a problem with points in scatterplots disappearing in a quartz window when it is re-sized (to make it larger). I am constructing an 8x12 matrix of scatterplots each containing approx 600 points. In order to get them in the window I remove the

Hi, Apologies in advance for any breaches of netiquette, I couldn't find any guidelines about submission to this forum but I'd be grateful for your help on something. My /boot filesystem is being remounted shortly after start-up as read-only. I get the following messages... journal_bmap_Ra7a5f568: journal block not found at offset 12 on ide0(3,1) Aborting journal on device ide0(3,1)

Dear R users, I have a question about the patterned variance-covariance structure for the random effects in linear mixed effect model. I am reading section 4.2.2 of "Mixed-Effects Models in S and S-Plus" by Jose Pinheiro and Douglas Bates. There is an example of defining a compound symmetry variance-covariance structure for the random effects in a split-plot experiment on varieties of

Steve, The main problem I am having with the system is clipping off the start of someone's speech when they first start talking- the ends of the sentences seem to be handled properly. I am wondering whether this is the fault of the audio playback system or whether this is a speex issue- I also get the musical artifacts problem with the denoiser. This seems to be more of a problem on open

Hello, Just a quick message, I have improved the -l3 lower quality setting.I have increased the quantization to 0.8 and decrease a little the denoising, and so to save 1Ko in average, I have added a 8x8 block variance analysis.Blocks that have a low variance are averaged to save bits.The -l3 lower quality setting is a little better now. For the -h3 higher quality setting, yes for now I do not

Hi, i want to parse a XML-File. I made some Tutorial but with my special Format it don't work. An Example of my format: <?xml version="1.0" encoding="ISO-8859-1"?> <mzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml

Jean Marc, Thanks for the advice. The estimate update may come in handy. I have had some time to play with the adaptation time. I tried making the adaptation time 80, 160 and 320. It seemed like the smaller value was actually the best in my initial testing, but I need to test this against a more noisy setup than I have here. I am guessing that for vad a shorter adaptation time is probably

Tom Harper wrote: > Hi All & Jean Marc, > > Once again I find myself delving into the pre-processing code to fiddle > with the VAD, AGC and denoising code. > > Where i am at is that I have implemented all of Steve Kann's mods, and > they are 90% of the way there in terms of working, except that I am still > having issues denoising open air mics. But that is

> So I have had a chance to delve deeper into the new pre-processing > code- I was also able to get VAD, AGC, Denoising, etc working inside of the > current release candidate (1.0.3). For some reason, the 1.1.2 > release didn't properly encode/decode in our system (on windows) > and I haven't had time to determine why. In any case, all of the features > jointly work

Hi, I have a dataset which has var1 from 1 sourse and var2 from 2 different methods. I need a new variable such that var2 values from both methods can beused as 1 variable. I believe deming regression can be used to do this. I just don't know how to do it. My data looks like: idvar1var2method1var2method2 11.22.1NA 21.62.4NA 31.52.2NA 41.3NA2.8 51.6NA3.1 61.4NA2.7 Please help. Sincerely,

I'm not sure if this is due to the same problem, but I get the same clipping behavior when trying to use VAD+denoiser on a particular mic+speaker setup that has significant background noise (enough to really foul up the codec should the denoiser be turned off.) Leaving VAD off and transmitting continuously seems to be the only way to avoid this clipping. Another person I regularly