similar to: sampling

i am trying to convert sas file into csv. I used write.csv(a, file="cool.csv") but nothing come out. i don't know why. Thanks. library(Hmisc) a<- sasxport.get("C:\\Users\.....") write.csv(a, file="cool.csv") -- View this message in context: http://r.789695.n4.nabble.com/convert-the-sas-file-into-csv-in-R-tp3311769p3311769.html Sent from the R help mailing

x<-data.frame(id=c(1,1,2,2,3,3,4,4), v1=c(1:8), V2=c(9:16)) > x id v1 V2 1 1 1 9 2 1 2 10 3 2 3 11 4 2 4 12 5 3 5 13 6 3 6 14 7 4 7 15 8 4 8 16 1) I want to split the data into 2 group with one unique ID. I should use the split function but i don't know how to write it out. 2) I tried to random select the one unique case so I have one group. id v1 V2 2 1 2

Hi, I have to draw samples from an asymmetric-Laplace-Normal distribution: f(u|y, x, beta, phi, sigma, tau) \propto exp( - sum( ( abs(lo) + (2*tau-1)*lo )/(2*sigma) ) - 0.5/phi*u^2), where lo = (y - x*beta) and y=(y_1, ..., y_n), x=(x_1, ..., x_n) -- sorry for this huge formula -- A WinBUGS Gibbs sampler and the HI package arms sampler were used with the same initial data for all parameters. I

Hi all, I am trying to run rejection sampling for the quantity z11 in the function below. Unfortunately I can't simplify the function further so that z11 only appears once. Whenever I run the algorithm, R looks as if it is running it (no error messages or anything), but then nothing happens for minutes...how long should it take to run something like this in R? I have tried in in both linux

Hi! Consider d <- data.frame(x=1:10,y=5+1:10, yf=rnorm(10,5+1:10)) x y yf 1 1 6 5.268621 2 2 7 8.623896 3 3 8 8.114830 4 4 9 10.125955 5 5 10 9.977261 ... I plot y and yf against x with xyplot(y+yf~x,data=d,col=c('red','green'),pch=c("a","b")) BUT - I would like that the plot of y against x is with type='l' and the

Hi everyone, Some time ago, I sent a pull request <https://github.com/xiph/opus/pull/107> to the Opus github page. Jean-Marc asked me to post it to the mailing list so everyone can have a look at it. You can find the description and code changes below. Please let me know if you have any questions or concerns. Best regards Gustaf Ullberg In WebRTC, we would like to be able to

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "points"

Thank you Mark. I agree and have now updated the pull request with a new commit, addressing your comments. Please take a look. /Gustaf On Fri, 5 Apr 2019 at 11:41, Mark Harris <mark.hsj at gmail.com> wrote: > On 2019-04-01 3:37, Gustaf Ullberg wrote: > > Hi everyone, > > > > Some time ago, I sent a pull request > > <https://github.com/xiph/opus/pull/107>

Dear friends, Please find below the code that I have employed for a rejection sampler to draw from asymmetric laplace distributions. I was wondering if this code can be written more efficiently? Are there more efficient ways of drawing random numbers from asymmetric laplace distributions?? Thanks in advance for your help and have a great weekend. Regards Anup

Hello: We noticed that opus reconstructed noise is pulsing with a 400ms pattern when dtx is enabled in silk mode. This is independent of the background noise level and is found with speech + non-speech period test files as well as variable level noise-only test files. This issue can be reproduced with opus v1.1 using this command: ./opus_demo voip 16000 1 25000 -dtx input.bin

I'm having trouble creating a looping variable and i can't see wher ethe problem arises from any hep gratfully appreciated First create a table x<-table(SURVEY$n_0,exposed) > x exposed False True Under 16 24 1 16-19 68 9 20-24 190 37 25-34 555 204 35-44 330 87 45-54 198 65 55-64 67 35 65+

I'm running a: for band in n w u do for quality in 0 1 2 3 4 5 6 7 8 9 10 do for complexity in 3 do for vad in "" "--vad" do for dtx in "" "--dtx" do echo speexenc -${band} --quality ${quality} --comp ${complexity} ${vad} ${dtx} input.${band}.wav

Hi guys I have tried compiling this attached code, I made all the buffers 320, there is no trace of a 160 buffer, but I get a " SpeexEncoder requires 320 samples to process a Frame, not 160" error. Maybe there's something I'm missing, here's my code: import java.io.IOException; import java.io.FileOutputStream; import java.io.File; import

Hi all, I have recently added Speex support to my app (http://sbooth.org/Max/) and am in the process of creating a GUI for the user to control the codec parameters. I am new to Speex and as such I am not really sure which parameters are more important than others, and deserve prominent placement, etc. Is there a recommended GUI for people to follow or use as an example? Stephen

Hello, I am trying to use the DTX feature of speex to tell if the user is speaking. I have VBR, DTX and VAD turned on, but the function speex_encode always returns a non-zero value. It is my understanding that it should return a zero value when the encoder detects silence? Could anyone give me any clues to help figure out why this isn't working for me? I am using the 1.13 version of speex on

While porting opus 1.2.1 to esp32, my compiler had a grumble (error) about possible use of uninitialized variables in decide_dtx_mode() Existing code: --------SNIP--------- /* Decides if DTX should be turned on (=1) or off (=0) */ static int decide_dtx_mode(float activity_probability, /* probability that current frame contains speech/music */ int

Before re-inventing the wheel I would like to ask: does anyone know about an optimizer in R which can reliably identify which value of X (Xopt) leads to Y (Yopt) closest to Ytarget in Y <- MonotoneStepFun(X) optionally with the restriction that Yopt <= Ytarget (at least if any Y <= Ytarget, otherwise any Yopt > Ytarget would be the preferred answer) If none is known, I will write

I'm working on an opus codec for the asterisk voip app. Googling DTX found: https://bugs.chromium.org/p/webrtc/issues/detail?id=4559 To paraphrase, if there's silence long enough, opus enters Celt-only mode, which has no DTX. Is this still correct ? And is the suggested work-around effective? sean -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, When we pass around 9K samples of only ambient noise (no voice), the encoder which is enabled FEC+DTX is detecting only some 140 frames as non-voice (returning only TOC, no frame content). We were expecting all or more to be identified as non-voice. Our idea was to check how the decoder re-generates the original ambient noise during the silence duration (when we feed NULL to decoder) when

Dear R-List, I?m new in R, so I hope my question is not to primitive, but I haven?t found a solution in the R-help. I?ve got a datatframe with 3 factors, called xf (9 levels), yf (9 levels), zf (3 levels) and one variable (rt): > xf yf zf rt > 1 1 1 67 > 1 1 1 56 > 1 1 1 60 [...] > 1 1 2 58 > 1 1 2 61 [...] > 9 1