similar to: Plotting labeled impulses: label collision

After playing with the vorbis code for a while and doing tons of hacks and analysis on it, I've found it to perform very poorly with impulse signals. The MDCT seems to cause lots of spreading, and it seems to result in much worse impulse performance then mp3. What is the current plan on handling this? Will a smart quantizer be able to avoid it? I've been looking at various ways of

Is there a way to create a 'bubble plot' in R? For example, if we define the following data frame containing the level of y observed for 5 patients at three time points: time<-c(rep('time 1',5),rep('time 2',5),rep('time 3',5))

Hello, At the boot prompt ALLOWOPTIONS 0 is only applied to implicit kernels and not to labels. For configuration which want to allow selection, but prevent customization of the kernel command line, this behaviour is bad. Also the IMPLICIT 0 is applied to both the boot prompt and configuration setting (like DEFAULT); but one could argue that only the command supplied at the prompt make sense to

h?, I am preparing undergraduate thesis If you help me this would make me feel good. First I need to analyze effect of Dow Jones Industrial average(DJIA)'s return on Istanbul Stock Exchange(ISE). I want to use Markov-Switching Bayesian Vector Autoregression Models (MSBVAR) that is used to examine the effect of a large economy?s stock exchange movement on a small economy?s stock exchange

Hi all, I'm plotting impulses, where some of them should have labels hovering above them. I know of plotrix' spread.labels function, but would like to save that for instances where there truely is to little space for the label. Does anybody have any hints what' the most efficient way might be to achieve the following: - plot an impulse plot - before placing each of a vector of text

On Aug 27, 2010, at 11:00 AMPDT, Eric Christopher wrote: >>> >>> For some reason I am getting this error even when I only have an >>> empty 'main' function. So I couldn't create .ll file reproducing >>> it and I have to debug myself. >>> >>> The function causing the problem is stub created in >>> JIT::runFunction:

Thanks for the help. I thought I'd solved the problem (setting the line number information in the instruction metadata) by inserting my own function for setting line number in llvm/Support/DebugLoc.h. I have added a function setLine(unsigned) in DebugLoc class. The function simply sets the LineCol variable as needed. But there is a problem. Whenever I'm checking the line number(calling

On 08/27/2010 11:32, Yuri wrote: > As I understand only one of TCRETURNri64 and RET should be created. > I have sources of rev.112200. > > Here is the stack when TCRETURNri64 instruction is created: > #1 0x0000000802c8b4e2 in llvm::MachineFunction::CreateMachineInstr > (this=0x30eb000, TID=@0x803a78940, DL={LineCol = 0, ScopeIdx = 0}, > NoImp=false) at

On 08/27/2010 11:05, Dale Johannesen wrote: >>>> Function only has on BB. Is this wrong that it has both >>>> TCRETURNri64 and RET in one BB? >>> >>> Yes, that is wrong. The reason emitEpilogue isn't lowering the >>> TCRETURN is that it doesn't see it, it only sees the RET. The real >>> problem will be where that RET is

On Aug 27, 2010, at 11:53 AMPDT, Yuri wrote: > On 08/27/2010 11:32, Yuri wrote: >> As I understand only one of TCRETURNri64 and RET should be created. >> I have sources of rev.112200. >> >> Here is the stack when TCRETURNri64 instruction is created: >> #1 0x0000000802c8b4e2 in llvm::MachineFunction::CreateMachineInstr >> (this=0x30eb000, TID=@0x803a78940,

I am writing a program in which I would like to take in a formula, change the response (Y) variable into something else, and then pass the formula, with the new Y variable to another function. That is, I am starting with formula <- Y~X1+X2+X3 and I'd like to do something like Y <- formula$Y newY <- f(Y) lm(newY~X1+X2+X3) So far, it seems that my

Hi, I am trying to simulate animal movement in a gridded landscape made up of cells. At each time step (iteration), the animal moves from one cell to another in a random fashion. This is how I am simulating movement, where a and b are the x,y co-ordinates of the animal at the previous time step: for (i in 1:no.of.steps){ direction <- sample(1:8, 1) if(direction == 1){ a <- a b <- b -

Hi thank you for talking the time to help me with this. I have a sequence of numbers in a file and an equal sequence of various character, say(a b c d) each occurs more than once. I need to plot the numbers so that numbers corresponding to a in the other sequence would have green dots, those corresponding to b a red dot, nothing on c and blue square for d. i.e 2 a show a green dot 4 b show a

Dear R- helpers Following a draft structure of the R script for which I am facing problem Step 1 x <- of type array with original values y <- of type array with original values Step 2 for (ctr in 1:10) { # my problem here the both x and y still show the original values from step 1 # in spite of making changes to the old values of the arrays x and y in the function function

Dear All, I'd like to know if it is possible to create animations with R. To be specific, I attach a code I am using for my research to plot some analytical results in 3D using the lattice package. It is not necessary to go through the code. Simply, it plots some 3D density profiles at two different times selected by the user. I wonder if it is possible to use the data generated for different

So I tried to run Impulse on my Ubuntu 11.04 laptop and it installed fine (or at least seemed to). When I tried to run it I got the working cursor for a bit then nothing. I ran it in terminal and got a error message about running the Windows version of Mono so I went online and did a search for the error message and found a file called mono-2.4.2.3-gtksharp-2.12.9-win32-3.exe and ran it. The error

Colleagues, I am using "nls" successfully (2.11.1, OS X) but I am having difficulties retrieving part of the output - residual sum of squares. I have assigned the output to FIT: > > FIT > Nonlinear regression model > model: NEWY ~ PMESOR + PAMPLITUDE * cos(2 * pi * (NEWX - POFFSET)/PERIOD) > data: parent.frame() > PMESOR PAMPLITUDE POFFSET >

Hello, I have a question regarding shading regions under curves to display 95% confidence intervals. I generated bootstrap results for the slope and intercept of a simple linear regression model using the following code (borrowed from JJ Faraway 2005): > attach(allposs.nine.d) > x<-model.matrix(~log(d.dist,10))[,-1] > bcoef<-matrix(0,1000,2) > for(i in 1:1000){ +

#Hello, # I have a question about the addition of values in specific columns and rows of a Data frame. # Below I have created two data frames, X.df and "Y.df". ## creation of X.df data frame X<- matrix(0,16,3) X.df<-data.frame(X) X.df[,1] <- c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4) X.df[,2] <- c(1,2,3,4,1,2,3,4,1,2,3,4,1,2,3,4) names(X.df)[1]<-"L(A)a(i)"

Good afternoon, Hope you all have a wonderful day. I am glad to be here. Hope you could help me with the following errors that i have been trying to figure it all out since last week. I am using Splus from Insightful, and as i read, R and Splus are very similar. So hope you could help me. I have been continously received these error messages after i ran my small program for couple of