similar to: about OGG

As to tremor fixed-point implementation, i got several questions, and hopefully some one can help me out. Thanks a lot! 1. For DSP chips with small and limited memory, how much memory do we really need for saving all codebooks before we start to decode audio packets? Can the bit-rate give us some clues? Is there some simple guidelines for this? 2. For CRC error protection, it seems to me that

Hi, While following the developer mailing list, I came across "tremor-lowmem" version. I did some search of it in Xiph.org and "tremor" source code but wasn't able to find it. I would like to know if there is any separate thread for the "tremor-lowmem" version as we are working on the fixed point implementation of Vorbis code and we are looking forward for

Hi, How to perform a stepwise selection of the best models for gee? Why can't step() do this job? Thanks. Sincerely Yours, Jinn-Yuh Guh, M.D. Dept. of Internal Medicine Kaohsiung Medical College 100 Shi-Chuan 1st Road Kaohsiung, Taiwan FAX: 886-7-312-2810 e-mail: jyuh at mail.nsysu.edu.tw -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi all, 1. Can nonlinear models be used in gee? For example, I have a dataset which contains 2 variables x and y, I wrote data(ex) atttach(ex) a<-100 b<- -0.5 c<-4.5 d<-20 Then: a. y~gee(y~d+(a-d)/(1+(x/c)^b)) Error in terms.formula(formula, data = data) : invalid power in formula b. y~gee(y~d+(a-d)/(1+(x/c)) Error in model.frame(formula, rownames, variables, varnames, extras,

I have data that looks like YC Age Num 82 11 2 83 10 0 84 9 8 85 8 21 86 7 49 87 6 18 88 5 79 89 4 28 90 3 273 91 2 175 with a program mod1=lm(log(Num+1)~YC, data=box44) plot(log(Num+1)~YC, data=box44, pch=19, xlab="Year Class", ylab="Loge Number at age", ylim=c(0,6), xlim=c(91,82)) abline(lm(log(Num+1)~YC), col="blue", lwd=2) summary(mod1) I need to

Dear useRs, I'm trying to write a loop to sum my data in the following way: (the second - the first) + (the third - the second) + (the fourth - the third) + ... for each column. So, I wrote something like this:   c <- list()   for(i in 1:ncol(mydata)) {   for(j in 2:nrow(mydata)) {   c[[i]] <- sum(yc[j,i] - yc[(j-1),i])   }}} As for the columns it works pretty fine, but it only

Hao Yu Commercial Scale Out IBM T.J. Watson Research Center 1101 Kitchawan Rd/Route 134, Rm 36-019 Yorktown Heights, NY 10598-0218 914-945-1854, Email: yuh@us.ibm.com ----- Forwarded by Hao Yu/Watson/IBM on 10/31/2006 09:52 AM ----- Jimi

Hao Yu Commercial Scale Out IBM T.J. Watson Research Center 1101 Kitchawan Rd/Route 134, Rm 36-019 Yorktown Heights, NY 10598-0218 914-945-1854, Email: yuh@us.ibm.com ----- Forwarded by Hao Yu/Watson/IBM on 10/31/2006 09:52 AM ----- Jimi

Hello, please excuse my ignorance as i am new to R and this might seem trivial to you How can i scale my time series in a way that 90% of the data is in the -0.-9/ +0.9 range? I think i first have to select the 90% closest to the mean and then calculate my scaling parameter on it, then scale the whole series. I think i could use outlier() from outliers package to identify the outer 10%,

Hello, I have error on compiling time I tried on HP-UX 11.00 system with gcc version 3.1 to compile samba source Samba latest version source was dowloaded from www.us1.samba.org/samba/ftp I attached log file with this error thank you. begin 600 samba_make.log.doc M(R!M86ME#0HO=7-R+VQO8V%L+W-A;6)A+V)I;B(@+410241$25(](B]U<W(O M;&]C86PO<V%M8F$O=F%R+VQO8VMS(B

Dear All, I have seldom needed to use loops in R, but now I need to code a loop with a stride different from one. In the R manual I downloaded I have the example: > xc <- split(x, ind) > yc <- split(y, ind) > for (i in 1:length(yc)) { plot(xc[[i]], yc[[i]]); abline(lsfit(xc[[i]], yc[[i]])) } but in my case I'd like to add a condition so that i varies by 4 from one go

I want to know how to get trace of product of matrices **faster** when the matrices are really big. Unfortunately the matrices are not symmetric. If anybody know how to get the trace of it, please help me. An example is as below. n <- 2500 a <- matrix(rnorm(n*n),n,n) b <- matrix(rnorm(n*n),n,n) tr1 <- sum(diag(a %*% b)) tr2 <- sum(diag(a %*% b %*% a %*% b)) Thanks, Yongwan Chun

Hi, What is the reason for seq.Date to require the 'by' argument and not to default it to 1 in the example below? > seq(from=as.Date("1996-01-01"), to=as.Date("1996-12-01")) Error in seq.Date(from = as.Date("1996-01-01"), to = as.Date("1996-12-01")) : exactly two of `to', `by' and `length.out' / `along.with' must be specified

R help list subscribers, I am a new user of R. I am attempting to use R to explore a set of equations specifying the dynamics of a three trophic level food chain. I have put together this code for the function that is to be evaluted by LSODA. My equations Rprime, Cprime, and Pprime are meant to describe the actual equation of the derivative. When I run LSODA, I do not get the output that

Hi All, I'm trying to format the y-axis in an xyplot to show numbers with a comma separating the thousands but I'm not able to do it using formatNum(y, big.mark=","). This is what I have: library(lattice) year<-c(2003,2004,2005,2006,2007,2008,2003,2004,2005,2006,2007,2008)

Hello, Does anyone know how to write the files created by the call of "texi2dvi" in another directory ? Thanks, Matthieu

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

Dear all: Y=a+bX1+cX2 In the Gee (Generalized Estimation Equation) arguments: The arument Corstr has sveral choices: "independence" "fixed" "stat_M_dep" "non_stat_M_dep" "exchangeable" "AR-M" "unstructured" What does each term mean? How do I choose among them? How do I know the correlation structure of

All, I am attempting to select all of the contiguous elements of a matrix that meet some criterion. I.e., values that would be contained within an irregular area defined by a "contour" applied around point of interest. So, if I have a matrix x as follows: > x <- matrix(rnorm(25), nrow=5, ncol=5,

I'm having a problem with aggregate.formula when I call it in a function and the function is converted from a string in the funtion I think my problem may also only occur when the left hand side of the formula is cbind(...) Here is example code that generates a dataset and then the error. The first function "agg2" fails > agg2(FALSE) do agg 2 Error in m[[2L]][[2L]] : object