similar to: Problems with nls

I'm trying to fit the Bass Diffusion Model using the nls function in R but I'm running into a strange problem. The model has either two or three parameters, depending on how it's parameterized, p (coefficient of innovation), q (coefficient of immitation), and sometimes m (maximum market share). Regardless of how I parameterize the model I get an error saying that the step factor has

Bad scaling will waste a lot of everyone's time. I put the data in a data frame mdat, then library(nlmrt) mdat<-read.csv("muzzamil.csv", header=T) fmn <- nlxb(y~a * (x^b), data=mdat, start=c(a=1,b=1), trace=T) fm <- nls(y~a * (x^b), data=mdat, start=c(a=1,b=1), trace=T) fmn2 <- nlxb(y~a2 * ((x-1979)^b2), data=mdat, start=c(a2=1,b2=1), trace=T) fm2 <- nls(y~a2 *

Hello! I have created a bplot-figure using this code: *file <- "2dcali_red.ttt" ux<-as.matrix(read.table(file, dec = ",")) mode(ux)<-'numeric' vel<-ux[,1] ang<-ux[,2] x<-ux[,3] y<-ux[,4] dat<- data.frame(ang=ang, x=x,y=y) require(rms) ddist2 <- datadist(dat) options(datadist="ddist2") fitn <- lrm(ang ~ rcs(x,4) +

Dear community, I had been looking for an easy way to produce latex tables from R output. xtable() and the package apsrtable produce good outputs but they are not exactly what I was looking for. I wrote this code that generates regression tables from multiple R linear models. I want to share it because it might be useful for someone else, and because I would appreciate comments on how to

I'm a bass player, I admit it. I came across a number of people talking about bass response with Ogg Vorbis and it piqued my interest, I live for this stuff. I am using the Ogg files to distribute songs as converted right from the 32 bit masters. This is a much different thing than ripping a 16 bit CD audio file that has been mushed and compressed much before it winds up as an Ogg file. When

Dear R listers -- I have several questions about using the ppr command in the modreg module. I discovered -- quite by accident -- that if I re-order the data, I obtain different results. The output below shows what I mean. I have two datasets (dataset1 and dataset2) that are identical (tested using proc compare in SAS) except for the fact that the records are in different order. Below I have

With Winetricks, Fruity Loops seems to be working well. The only thing that is not working right now is the packs. I can't figure out why the packs aren't working. If I click on the bass pack, it produces sound; if I click on one of the choir packs, no sound is produced. Linux reads the bass pack as pcm encoded. Linux isn't able to read all the packs that aren't working.

On 03/03/2010 10:22 PM, QianBin wrote: > Hi, > > But in fact, it really affects the voice quality. One of my tester says, "Is your mouth far way from the mic?" > Could you explain why we should cut 200hz below? > We already said it affects the quality when the voice is compressed. Are you asking why that should be? Even with a simple form of lightly lossy

Dear all, I am using the nlsLM function to fit a Lorentzian function to my experimental data. The LM algorithm should allow to specify limits, but the upper limit appears not to work as expected in my code. The parameter 'w', which is peak width at half maximuim always hits the upper limit if the limit is specified. I would expect the value to be in-between the upper and lower limit with

Brian Willoughby <brianw at sounds.wa.com> wrote: > On Jan 7, 2011, at 16:27, Declan Kelly wrote: ... >> As the human hearing can't really tell direction with lower >> frequencies, >> it's not as essential. This same shortcut is why most movie "surround >> sound" systems have only one sub bass channel. > > In this case, you have been misled

Hi all, I am new to R and have some trouble with exporting results from a non linear squares object (.nls), would be very thankful if anyone could help me. So what I'm doing is a Bass modelling of some data. The result is stored in the object "Bass.nls". I want to export a matrix with the three columns: observation number, actual observation value, predicted observation value.

This is a quadratic programming problem that you can solve using either a quadratic programming solver with constraints or a general nonlinear solver with constraints. See https://cran.r-project.org/web/views/Optimization.html for more info on what is available. Here is an example using a nonlinear least squares solver and non-negative bound constraints. The constraint that the coefficients sum

Dear All, I have analysed time to event data for continuous variables by considering the multivariable fractional polynomial (MFP) model and comparing this to the untransformed and log transformed model to determine which transformation, if any, is best. This was possible as the Cox model was the underlying model. However, I am now at the situation where the assumption that the competing risks

Jean-Marc Valin (jean-marc.valin@hermes.usherb.ca) wrote: > > > I've been using Speex in my voice-over-IP program on Win32, in > > wideband (16kHz) mode. I just starting using VBR recently and > > have run into something that might be a problem within Speex: > > Are you turning on DTX in addition to VBR? Also, what version are you > using. As of 1.0, DTX is

Hi, the anonymous CVS server for portable OpenSSH does not want to talk to me: > % cvs upd -Pd > cvs [update aborted]: connect to bass.directhit.com:2401 failed: Connection refused Looking at http://www.openssh.com/portable.html, ":pserver:cvs at bass.directhit.com:/cvs" is still the recommended repository. Is this a known problem? -- Kent Engstr?m, Link?ping University

Thanks to the generosity of Rob Hagopian <rob at hagopian.net>, portable OpenSSH now has a public anonymous CVS tree and a mirror of the snapshots on a fast (colocated) machine. The nightly snapshots are now available from: http://bass.directhit.com/openssh_snap/ Please use these instead of the mindrot.org ones (which will be going away soon). To checkout the CVS tree, issue the

Thanks to the generosity of Rob Hagopian <rob at hagopian.net>, portable OpenSSH now has a public anonymous CVS tree and a mirror of the snapshots on a fast (colocated) machine. The nightly snapshots are now available from: http://bass.directhit.com/openssh_snap/ Please use these instead of the mindrot.org ones (which will be going away soon). To checkout the CVS tree, issue the

First of all, bufout_len = 320 is correct since that value is the number of stereo samples. Using 640 would be wrong (and no wonder that it crashes). Secondly, "speex_resampler_process_interleaved_float" has a bug that keeps it from working when it is output limited, so if you ever set "buf_len" to any value greater than 1764 the resampler will stop functioning properly

I was recently talking to a friend of mine who produces what's widely referred to as "techno", music that's heavy on electronically generated loops and effects, samples, and has plenty of bass. He doesn't like ogg for a few reasons - he sent me a rather long email, and I've stripped out the nonsense from it (he has some technically irrelevant reasons for not liking

Hi, at least for three days now I can't update my sources from CVS. When connecting to the CVS server I'm getting a cvs [update aborted]: connect to bass.directhit.com:2401 failed: Connection refused message. I'd like to make a `cvs diff' since I have an important patch related to a SEGV in the Cygwin sshd. What's the problem with bass.directhit.com? Corinna -- Corinna