similar to: How to pass a character argument which contains expressions to arg.names in barplot?

Hi, Jean-Marc Valin wrote: > How about this: the codebook search gives you the N best (in order) > combinations of entries for the current sub-frame. You can simply > compute a one-bit checksum on all the codebook entries and choose > which of the N-best to use based on that and the "message" you have. So you're suggesting, I can either write into the stream: -

My data looks like this: > data name G_hat_0_0 G_hat_1_0 G_hat_2_0 G_0 G_hat_0_1 G_hat_1_1 G_hat_2_1 G_1 1 rs0 0.488000 0.448625 0.063375 1 0.480875 0.454500 0.064625 1 2 rs1 0.002375 0.955375 0.042250 1 0.000000 0.062875 0.937125 2 3 rs2 0.050375 0.835875 0.113750 1 0.877250 0.115875 0.006875 0 4 rs3 0.000000 0.074750 0.925250 2 0.897750 0.102000

Hi, Jean-Marc Valin wrote: > Not sure I understand your question. Change the order of what within what? In cb_search, we iterate nb_subvect times over a codebook, finding nb_subvect codebook entries to quantize the excitation signal. After finding these nb_subvect codebook entries, they're written into the stream: /*save indices*/ for (i=0;i<nb_subvect;i++) {

I'm trying to understand how a latent state matrix is updated by the MCMC iterations in a WinBUGS model, using the package R2WinBUGS and an example from Kery and Schaub's (2012) book, "Bayesian Population Analysis Using WinBUGS". The example I'm using is 7.3.1. from a chapter on the Cormack-Jolly-Seber model. Some excerpted code is included at the end of this message;

Hi all! I have written some code in C for simulating the fate of population using a dll loaded in R. During this simulation the population may go extinct such that the length of its trajectory is unknown beforehand. I wonder there is a way to define the size of the result in C and make it known to R to get the vector appropriately. I have defined the output size very much larger than

Greetings, I spent the better part of a day tracking down a rather annoying problem. I would like someone more knowledgeable than myself to confirm this diagnosis. I have a RH 8.0 Linux box with three NICS. I had been developing it testing with an XP box. Everything seemed groovy. Today I went to put it into "production" and Win98 clients were having all sorts of problems.

Hi, I make an analysis and depending of the order of the variables, the significance change, look. m1 <- glm((infec/ntot)~idade+sexo+peso,family=binomial,weights=ntot) > anova(m1,test="F") Analysis of Deviance Table Model: binomial, link: logit Response: (infec/ntot) Terms added sequentially (first to last) Df Deviance Resid. Df Resid. Dev F Pr(>F)

Full_Name: Chien-yu Peng Version: 2.0.1 OS: Windows XP Professional Submission from: (NULL) (140.109.72.181) Dear all: Although I don't know you, I am thankful for your help. When I use the function mantelhaen.test for R x C x K (R, C > 2) table, the output is not the same as SAS's. I don't know that the result consist with one of SAS's. But it works correctly for 2

Hi all! I would like to import a matlab or gauss code to R. Could you help me? Bye, Sebasti?n. 2007/6/23, r-help-request en stat.math.ethz.ch <r-help-request en stat.math.ethz.ch>: > Send R-help mailing list submissions to > r-help en stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit >

Hello, I am having a problem specifying the correlation structure in lme which leads to the error: Error in getCovariate.corSpatial(object, data = data) : Cannot have zero distances in "corSpatial". I have specified a grouping variable which is the only fix I could find by searching this error on R-help. ISee the below example. When my samples (tran) - which are transects

Hi, Jean-Marc Valin wrote: >> 1. What is the point in multiplying a codebook index with some number >> ant adding a loop variable to it as done in the exc unquant function. >> for (j=0;j<subvect_size;j++) >> exc[subvect_size*i+j]+=s*0.03125*shape_cb[ind[i]*subvect_size+j]; > > That's just how you represent a 2D array in C: the codebook has

In a package, i type a function name and got the following message: ... tmp <- .Fortran("master", x = as.double(x), y = as.double(y), sort = as.logical(sort), rw = as.double(rw), npd = as.integer(npd), ntot = as.integer(ntot), nadj = integer(tadj), madj = as.integer(madj), ind = integer(npd), tx = double(npd), ty = double(npd),

I tried to use calcMin with a function that uses a number of ... arguments (all args from resid on) besides the vector of parameters being fit. Same idea as optim, nlm, nlminb for which this form of ... syntax works. But with calcMin I get an error regarding unused arguments. No partial matches to previous arguments that I can see. Anybody know the reason or fix for this?

>cbn<-as.matrix(expand.grid( rep( list(0:1), 50))) Error in rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : invalid 'times' value In addition: Warning message: In rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : NAs introduced by coercion But I'm only interested in cbn matrix rows where: cbn<- cbn[rowSums(cbn)==5,] Is there a way to evaluate it

Hello, all experts, My major is computer-aied drug design ( main QSAR). Now, my paper need be reviesed, and one reviewer ask me do genetic algorithm coupled with gaussian process method (GA+GP). my data: training set: 191*106 test set: 73*106 here, I need use GA+GP to do variable selection when building the model. In R, there are not GA package like in matlab

R helpers, I am working with the R program performing multivariate regression trees (MRT). I have a matrix with species and environmental variables saved as a CSV file (sprot_matrix.csv), I have 42 species and 8 environmental variables (SECCHI+PH+TA+PTOT+NTOT+CHLA+AREA+ MEANDEP) for 104 samples Title SpA SpB SpC SpD Varible1 Variable2 Variable3 Sample1 Sample 2

I am trying to pass an equation as an arguement to a function, which seems pretty straightforward given lazy evaluation. I constructed the following little test to make sure I sort of knew what I was doing: go <- function(X,eq) { C <<- X*2; d <<- eq} a _ rnorm(100) go(10,eq=a[.5*length(a)]+C+1) > C [1] 20 > d [1] 21.10551 > a[.5*length(a)] [1] 0.1055086 Everything

For block effects with small variance, lmer will sometimes estimate the variance as being very close to zero and issue a warning. I don't have a problem with this -- I've explored things a bit with some simulations (see below) and conclude that this is probably inevitable when trying to incorporate random effects with not very much data (the means and medians of estimates are plausibly

Hello, Is it possible to adjust the level of the denoiser ? In an old beta, before you change the aggressiveness of the denoiser, it works very well with the noise of a car, a road etc... but not now. The AEC too works very well in a old beta, but now, I think there is a problem... I have tested it with the same sound card (WB 16000). In any case, your project is the best VOIP library in this

Hello. I am running a state space model (the example from Marc kery's Bayesian population analysis using WinBUGS ) The code runs fine for the examle as shown in the book. However I played around and changed the nodes monitored to the latent variable z I get the following error- even though it is monitored in the code: Initializing model