similar to: result of rqss

I'm having difficulty with an environmental issue: I have an additive model fitting function with a typical call that looks like this: require(quantreg) n <- 100 x <- runif(n,0,10) y <- sin(x) + rnorm(n)/5 d <- data.frame(x,y) lam <- 2 f <- rqss(y ~ qss(x, lambda = lam), data = d) this is fine when invoked as is; x and y are found in d, and lam is found the

Rers: I installed R 2.9.0 from the Debian package manager on our amd64 system that currently has 6GB of RAM -- my first question is whether this installation is a true 64-bit installation (should R have access to > 4GB of RAM?) I suspect so, because I was running an rqss() (package quantreg, installed via install.packages() -- I noticed it required a compilation of the source) and

Hi, I have used package quantreg to estimate a non-linear fit to the lowest part of my data points. It works great, by the way. But I'd like to extract the predicted values. The help for predict.qss1 indicates this: predict.qss1(object, newdata, ...) and states that newdata is a data frame describing the observations at which prediction is to be made. I used the same technique I used

Hi, I need to fit a piecewise linear regression. x = c(6.25,6.25,12.50,12.50,18.75,25.00,25.00,25.00,31.25,31.25,37.50,37.50,50.00,50.00,62.50,62.50,75.00,75.00,75.00,100.00,100.00) y = c(0.328,0.395,0.321,0.239,0.282,0.230,0.273,0.347,0.211,0.210,0.259,0.186,0.301,0.270,0.252,0.247,0.277,0.229,0.225,0.168,0.202) there are two change points. so the fitted curve should look like \ \ /\

Dear All, I'm trying to construct confidence interval for an additive quantile regression model. In the quantreg package, vignettes section: Additive Models for Conditional Quantiles http://cran.r-project.org/web/packages/quantreg/index.html It describes how to construct the intervals, it gives the covariance matrix for the full set of parameters, \theta is given by the sandwich formula

Hi, Let me pick up this old thread. How does one extract the locations of the knots (ends of the segments) from the fit object below? Thanks, Vadim >From : roger koenker < roger_at_ysidro.econ.uiuc.edu > Date : Tue 31 May 2005 - 10:23:19 EST It is conventional to fit piecewise linear models by assuming Gaussian error and using least squares methods, but one can argue that

Dear all, My machine is SUN Java Workstation 2100 with 2 AMD Opteron CPUs and 16GB RAM. R is compiled as 64bit by using SUN compilers. I trying to fit quantile smoothing on my data and I got an message as below. > fit1<-rqss(z1~qss(cbind(x,y),lambda=la1),tau=t1) Error in as.matrix.csr(diag(n)) : cannot allocate memory block of size 2496135168 The lengths of vector x and y are

What happens if you change that line: if (cumul_gain > 262144) to use a smaller value? What value works OK (if any)? One more thing, when things go wrong, do they eventually go back to normal or does the codec never recover? It's unavoidable that the audio goes bad for a short period of time because of the long-term predictor. Jean-Marc On 2010-01-14 05:57, Frank Lorenz wrote: >

R-ers: I was wondering if anyone had suggestions on how to implement a GAM in a quantile fashion? I'm trying to derive a model of a "hull" of points which are likely to require higher-order polynomial fitting (e.g. splines)-- would quantreg be sufficient, if the response and predictors are all continuous? Thanks! --j

Hi Frank, Sorry, I *do* care about the problem and just happen to be overworked at the moment. What I suspect is that the pitch gain gets close enough to unity that the loss makes it bust. Did you test with the floating-point code? Jean-Marc On 2010-01-13 03:45, Frank Lorenz wrote: > Hi, > > is no one willing to spent some effort on this topic? At least it would > be good >

Hi Jean-Marc, all, I didn't get any response to my issue up to now and would like to now if anyone can reproduce this behaviour and if there is some idea what happens. I am willing to fix this issue, but because I do not know the internals of speex, I need some advice on how to proceed... best regards, Frank Frank Lorenz <Frank_wtal at web.de> hat am 21. Dezember 2009 um 10:49

<body bgcolor="#ffffff" background="https://img.web.de/v/p.gif" class="bgRepeatYes" style="background-repeat: repeat; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-size: 9pt; padding-left: 0px;" ><p>Hi Jean-Marc,</p> <p>&nbsp;</p> <p>yes, I tested with floating point. It is only a fixed point

Hi Jean-Marc, yes, problem exists in narrowband-mode, too. I already twiddled with max_gain, but did not have real success. I changed line 337 of ltp.c (function pitch_gain_search_3tap_vq) if (sum>best_sum && gain_sum<=max_gain) { to if (sum>best_sum && gain_sum<max_gain) { -- that stabilizes speex for 2000 Hz and 2200 Hz input on quality setting 7 (23800

Hello all, I wish to fit a loess smother to a plot of Y`X, but in predicting the 95% quantile. Something that will be a combination of what rq (package quantreg} does, with loess. Is there a function/method for doing this? Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili@gmail.com | 972-52-7275845 Read me:

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Dear list, I used rqss() in quantreg package for a piecewise linear regression. Can someone tell me how to find the x values corresponding to the breakpoints and the slopes for the phases before and after the breakpoints? I searched the list and gather that there is another package "segmented" that does that, but my stat is pathetic, and I have difficulty setting the parameters right

Hi Jean-Marc, dBFS means dB relative to digital full scale. In other words: a sine value of -42 dBFS will, on a 16 bit PCM signal, swing between 131 and -131 only (16384 * 10^(-42/20)) So we are far below +/-8000. At the moment, I'm out of ideas how to debug systematically. That even very small rounding errors alter pitch values fundamentally makes the situation worse for me, because it

Hello, after I fixed one problem, the next one raised up. I am trying to create a guest domain. I specified the configurations in /etc/xen-tools/xen-tools.conf and I ran $sudo xen-create-image --hostname=virtualrouter1 --role=udev the output is: sudo: xen-create-image: command not found I searched all directories for a file with this name but couldn''t find any. Is this possible? I am

O.k., some more info: I just tested bandwidth widening to fix this. But I need to go to gamma values below 0.9 to become stable -- clearly too much widening, I think. I looked inside the Levinson-Durbin algorithm next. The lines #ifdef FIXED_POINT r = DIV32_16(rr+PSHR32(error,1),ADD16(error,8)); #else r = rr/(error+.003*ac[0]); #endif look interesting. While for floating point,

Hi again, I tested lower cumul_gain limit values. In fact, I reduced the value to 240000, 230000, 220000, ..., 20000, 10000, 5000, 2000, 1000, 500. (quality 7, complexity 2) For input signal 2000 Hz, the values 190000, 130000, 60000, and 1000 look o.k., all others don't. For 500, the (zoomed out) waveform shows some kind of amplitude ripple -- i think, this value is definetely too low. I