similar to: Improving on Rice coding

On Sun, 27 Apr 2003, Josh Coalson wrote: > > Paul, cool to see you here... I thought bonk was in limbo > since I couldn't even see the homepage for a while. > There's a reason that web server is called yoyo... Bonk was a neat idea that turned out to be not too practical, so i haven't been working on it much. > > I actually did study bonk a little when I discovered

--- Paul Harrison <pfh@mail.csse.monash.edu.au> wrote: > Hello, > > I am the author of the Bonk audio compression program... i've just > been > looking at your comparrison table, and i noticed bonk gets marginally > better compression than Flac on some files (actually i was > rather surprised to see bonk on the list at all, it's not exactly > high >

Hi R-users, My question is more methodological one, rather than technical. I have to samples representing residuals based on two measurements techniques (resid1,resid2; n=69). I need to compare two samples, to reject one technique (the worse one), and to keep the one which gave lower residuals (better one). What to look for? What should I analyse? Means, variance, std. deviations? Based on

Hi All, I was wondering whether there have been some listening experiments done to test how well spatial information is preserved in the celt signal, e.g. comparison of sound localization performance for the original uncompressed sound and the celt sound (most probably for different bit rates). Best, Pablo -- Pablo F. Hoffmann PostDoc Acoustics Dept. of Electronic Systems Aalborg

Dear R-users, I was able to make ROracle package to connect to the DB (Oracle91, 64bit, on Solaris). But after executing siple SQL query, "fetch" commaned gives me an empty dataframe. ### RORACLE INSTALATION PROCEDURE ### R CMD INSTALL --configure-args='--enable-extralibs' --enable-oracle32=no ~/tmp/ROracle_0.5-5.tar.gz #since we have 64bit Oracle9i instalation PROBLEM:

I built some reasonably successful tools in a graphical database for reconstructing the developmental turning points for feedback loop driven natural processes. I'm trying to move it to R and am having difficulty with the very basics, i.e. a) defining time series using time as a natural number rather than a place in a table. I was also hoping b) someone might have built some of the

On Fri, 4 Jun 2004, Makc wrote: > Here's what you can find in the net on YUV scheme: Hmm? What prompted this? > The statement I care to make here, is simply that there ain't neither > such thing as "luminance", which details "the eye is more sensitive to", "ain't neither"? Double negative, so I take your statement to mean that there *is* such

Hi I have a 3 x 2 contingency table: 10 20 30 40 50 60 I want to update the frequencies to new marginal totals: 100 130 40 80 110 I want to use the ipf (iterative proportional fitting) function which is apparently in the cat package. Can somebody please advice me how to input this data and invoke ipf in R to obtain an updated contingency table? Thanks. By the way I am quite new to R. -- Dr

Hi R-users, How can I found the number of a distinct values in a data frame (occurrence of distinct values)? The dataframe consists of several thousands integer numbers. Thanks, Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Sciences, Comenius University Mlynska Dolina 842 15, Bratislava, SLOVAKIA tel: +421 905 968 127 e-mail: rbonk at host.sk

Dear R-users, I have two outliers related questions. I. I have a vector consisting of 69 values. mean = 0.00086 SD = 0.02152 The shape of EDA graphics (boxplots, density plots) is heavily distorted due to outliers. How to define the interval for outliers exception? Is <2SD - mean + 2SD> interval a correct approach? Or should I define 95% (or 99%) limit of agreement for data interval,

Hi all, I'm hoping someone might help with a query about conditionally applying formulas to a dataframe. In essence I have 3 lookup tables (Table A, B & C) and a dataframe with a variable Type.Code, which identifies the Lookup Table to which each record belongs. The lookup tables reference different sensor types for which I need apply a different formula to values in Column3 in each row

Hi, Does anybody know suitable documents (manuals) on writing user functions (covering loops, conditions ...) in R? Other than the usually available manuals. Thanks, Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Sciences, Comenius University Mlynska Dolina 842 15, Bratislava, SLOVAKIA tel: +421 905 968 127 e-mail: rbonk at host.sk

Hi, I'm new to "R". I have a matrix of 6x12. I need to produce matrix of 12x6, such that rows in new matrix are columns from original matrix, and columns in a new matrix are rows from the original one. I was playing with rbind(), and cbind() with no success. Regards, -Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Natural Sciences, Comenius

Dear R users, I'm working on implementation of hydrometeorological DB in Oracle9i and would like to use R, as a plotting engine for graphs and maps and also to perform some non trivial statistics on DB data using R. Thus any links with examples or efforts on: - general DB and R cooperation - Oracle91 and R cooperation - Oracle PL/SQL and R are welcomed. Thanks in advance, Rado --

Dear R-users, In order to use ROracle (v. 0.5-5) package I compiled R-1.9.1 on Linux (2.4.20-28.9smp) and installed it. I need to use Oracle9i on Solaris. When executing "library(ROracle)" I got the following error message: > library(ROracle) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

I'm having trouble using some fairly simple code to change the entries in a vector (x - the numbers 0-5) according to a simple transition matrix that I've called p.dry. the error message I get is "no finite arguments to min; returning Inf" Any suggestions as to where I'm going wrong greatly appreciated. Sorry the message is lengthy! cheers Nick The code is

Full_Name: Peter Fischer Hallin Version: Version 1.8.1 OS: Irix64 Submission from: (NULL) (130.225.67.236) I've made a script look like this: exp <- read.table("graph/1933672048.cluster.data") exp <- as.matrix(exp) postscript("graph/1933672048.cluster.data.ps") heatmap(exp,scale="none",cexCol=0.4,cexRow=0.2,col=custom,margins=c(5,5)) The row labels

Hello R-users, Is there any more sophisticated way how to identify the dataset outliers other then seeing them in boxplot? I wanna exclude them from further analysis and I am interested in their position in my vector data. Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Sciences, Comenius University Mlynska Dolina 842 15, Bratislava, SLOVAKIA tel: +421 2 602

Hi R-users, I have a set of elevation residuals as geodata points. I would like to display them in the following way: -negative values using pch=20 (filled circle) -positive values using pch=1 (empty circle) while using the cex.max=5, cex.min=0.1 for points() to represent the residuals value. Basically I would like to distinguish neagtive and positive values at my map. How to do this. Thanks

On Sun, Apr 27, 2003 at 07:28:48PM +1000, Paul Harrison wrote: > On Sun, 27 Apr 2003, Miroslav Lichvar wrote: > > > However, decoding will not be very fast. I think it is possible to > > speed up bonk implementation (with some additional tables), but > > probably it will never be as fast as decoding of rice codes. > > Agreed, there's too much juggling going on