Displaying 20 results from an estimated 100 matches similar to: "finding floors and residues"
2010 Jun 01
0
studentized residues from nls()
Hi, I am wondering if there is a way to extract studentized residues from a nls() object? I searched archive, someone posted a similar question before (http://tolstoy.newcastle.edu.au/R/e6/help/09/04/10845.html), but didn't get an answer.
Thanks for any suggestions,
John
2002 Sep 24
5
Floor type 0 and residues type 0 and 1
Hi,
it seems to me as if all vorbis-files only contain floors of type
1 and residues of type 2. Is it possible to "force" the encoder to
somehow create a vorbis-file with the other floor and residue types?
Tor
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2013 Nov 01
1
Package(s) for making waffle plot-like figures?
Dear all,
I am trying to make a series of waffle plot-like figures for my data to
visualize the ratios of amino acid residues at each position. For each one
of 37 positions, there may be one to four different amino acid residues. So
the data consist of the positions, what residues are there, and the ratios
of residues. The ratios of residues at a position add up to 100, or close
to 100 (more on
2001 Jun 17
2
Large codebook?
Hello.
Earlier I asked if it would be possible to use one common large
codebook for all audiofiles. Can you estimate how the following
system would work?
1. The audio would be divided to 16 samples blocks.
2. For each block, the first sample would be stored without any encoding.
3. Linear interpolations between the stored samples are computed.
4. The residues (length of 16 samples) between the
2011 Jul 14
1
t-test on a data-frame.
Dear R-helpers,
In a data frame I have 100 securities,monthly closing value,from 1995 to
present,which I have to
1. Sampling with replacement,make 50 samples of 10 securities each,each
sample hence will be a data frame with 10 columns.
2. With uniform probabilty,mark a month from 2000 onwards as a "special"
month,t=0.
3. I have to subtract the market index from each column of each
2006 Dec 05
2
intro + specification remarks + some questions
hi everyone,
since about 10 days I've been working on an implementation of ogg vorbis
*decoder* from scratch, and I've got a few constructive remarks about
the specs and some questions.
--------------------------
First a question:
> 9.2.4. low_neighbor
>
> "low_neighbor(v,x)" finds the position n in vector [v] of the greatest
> value scalar element for which
2012 Jul 23
3
How to do the same thing for all levels of a column?
Dear all,
I am a R beginner, and I am looking for a way to do the same thing for all
levels of a column in a table.
Basically, I have a bunch of protein sequences composed of different amino
acid residues, and each residue is represented by an uppercase letter. I
want to calculate the ratio of different amino acid residues at each
position of the proteins. Here is an example table:
Proteins
2010 Jan 17
6
More than on loop??
hello every one,
How to function more than one loop in R? I have the following problem to be
solved with the a method of three loops, can you help me please?
The data is attached with this message.
The data is composed of two parts, cleaved (denoted by ?cleaved?) and non
cleaved (denoted by ?noncleaved?).
? to access to the ith peptide, you can use X$Peptide[i]
? to access to the ith label,
2007 Nov 28
2
alternatives to traditional least squares method in linear regression ?
Dear list,
I have encountered a special case for searching a linear regression
where I'm not satisfied with the results obtained using the traditional
least squares method (sometimes called OLS) for estimating/optimizing
the residues to the regression line (see code below). Basically, a
group of my x-y data are a bit off the diagonal line (in my case the
diagonal represents the ideal or
2003 Nov 28
1
regarding vorbis
hello
iam satish and working on ogg vorbis audio decoder for blackfin processor as a part of my masters project. i would like to clarify certain doubts regarding the algorithmn, like floor, residue, LPC and LSP. iam studying through the documents posted in your website. But, still i need some help and understanding regarding the above topics. What exactly do you mean by floor, residues etc..,
2005 Oct 25
1
Steganographic extension to Speex
Hello,
Jean-Marc Valin schrieb:
>>I am planning on creating a steganographic extension for speex/CELP.
>>Since speex/CELP is lossy, there should be quite many bits that one
>>can use for hiding data.
>
> Quite the opposite. Speex uses very few bits, so every bit you corrupt
> is likely to be heard. You would need to use "fractions of bits" at a
> time.
2009 Mar 09
1
audio data encoding in FLAC: how complex ?
Hello !
The following algorithm describes Golomb(=Rice?) encoding:
http://en.wikipedia.org/wiki/Golomb_coding#Simple_algorithm
What is unclear to me is how many audio samples
encoded with a fixed parameter (denoted 'M' in the wiki,
which i presume is equivalent to the 'Rice parameter'
invohed here):
http://flac.sourceforge.net/documentation_format_overview.html
But things are a
2009 Aug 13
1
R code to reproduce (while studying) Bates & Watts 1988
Hi R users,
I'm here trying to understand correlated residuals in nonlinear estimation.
I'm reading/studying the book Bates, D. M. and D. G. Watts, (1988),
/Nonlinear regression analysis and its applications/, Wiley, NY. pages
92-94, trying to reproduce the figures and to find out the code in R to
perform the necessary calculations.
I also consulted Pinheiro and Bates, but without
2005 Nov 13
4
Robust Non-linear Regression
Hi,
I'm trying to use Robust non-linear regression to fit dose response curves.
Maybe I didnt look good enough, but I dind't find robust methods for NON
linear regression implemented in R. A method that looked good to me but is
unfortunately not (yet) implemented in R is described in
http://www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm
2007 May 12
0
There might be something wrong with cv.lm(DAAG)
Hi, everyone
When I was using cv.lm(DAAG) , I found there might be something wrong with
it. The problem is that we can't use it to deal with a linear model with
more than one predictor variable. But the usage documentation
hasn't informed us about this.
You can find it by excuting the following code:
xx=matrix(rnorm(20*3),ncol=3)
bb=c(1,2,0)
yy=xx%*%bb+rnorm(20,0,10)
2009 Sep 16
0
How floor1 modifications may affect final (de)coded samples?
Hello,
I've been "playing" a little with the floor1 encoding, and my game has posed
me a question. I've been modifying (just curiosity) manually, and randomly
(not too great modifications), the quantized [floor1_Y] values, just before
coding them with the codebooks. As, if I'm not wrong, the [floor1_Y]
obtained are then removed to get the residue vectors for each channel, I
2009 Aug 03
0
No subject
(II) Module glx: vendor="NVIDIA Corporation"
compiled for 4.0.2, module version = 1.0.0
Module class: X.Org Server Extension
(II) NVIDIA GLX Module 185.18.14 Wed May 27 03:09:07 PDT 2009
(EE) NOUVEAU(0): [dri] GlxSetVisualConfigs not found.
(EE) NOUVEAU(0): NVIDIA's glx present, or glx not loaded.
(EE) Failed to initialize GLX extension (Compatible NVIDIA X
2003 Mar 14
0
encoder block diagram
I've made block diagram of the encoder because I tried to find out, how it works
http://stoffke.freeshell.65535.net/ogg/block.html
Although there are specifiation docs, that give very
detailed information about single aspects of the encoding (or decoding) ,
I'm missing documenations that give a more general overview,
about how the encoder works.
(Vorbis Illuminated seems a bit outdated,
2003 Mar 12
2
encoder block diagram
I've made a block diagram of the encoder because I tried to find out, how it works
http://stoffke.freeshell.65535.net/ogg/block.html
Although there are specifiation docs, that give very
detailed information about single aspects of the encoding (or decoding) ,
I'm missing documenations that give a more general overview,
about how the encoder works.
(Vorbis Illuminated seems a bit
2004 Jan 02
1
A bitrate peeling attempt
Given all this talk of peeling lately, I thought I'd try out a method
I've been thinking about for a while now. It goes something like this:
* Peeling is achieved by dropping some of the residue.
* The encoder indicates how much of the residue to retain (e.g a number
of stages, 3 bits in the stream per packet, non-standard!).
* The decoder (peeler) copies the contents of packets except