similar to: nls question

Hi, I want to do a biexponential Fit, i.e. y ~ A1*exp(k1*x) + A2*exp(k2*x) Is this possible? I tried nls() but it stopped with several (different) errors. I'm using y and x as simple vectors and the formula for nls() exactly as mentioned above. Thanks a lot! Jonas

I'm doing testing on this at the moment. But to start with: >>Because music represents an analog signal, As I wrote, it would only apply to specific genres, not analog recordings. Electronic music quite often doesn't leave a computer these days. And it mainly consists of drums, synths & vocals/effects. Drums are often samples sequenced at sample (not sub-sample) accuracy,

Hi guRus, I'm looking for advice on a good way to approach analysis of some multi-level data I've obtained. I had humans classify words and measured response time. Words were 10 positive words ("happy", "joy", etc) and 10 negative words ("sad","grumpy", etc). Words were also presented in either white, red or green color. All variables were

Hi all: Using the example below, is there a way to add Y axis titles to each graphic instead of sharing the same title? library(ggplot2) RT = matrix(c(814, 500, 424, 394, 967, 574, 472, 446),4,2) colnames(RT) = c('repetition','alternation') rownames(RT) = c('7-yrs','11-yrs','15-yrs','21-yrs') rt <- melt(RT) names(rt) <- c("age",

Hello all! I have a problem to use a biexponential regression model: I use this code: n3<-nls(proc~SSbiexp(cls,a,b,c,d),data=bline) and this is the error message: Error in nls(y ~ cbind(exp(-exp(lrc1) * x), exp(-exp(lrc2) * x)), data = xy, : singular gradient My data is like this: structure(list(proc = c(387.177462830167, 508.090511433077, 321.836817656365, 151.226805860727,

On Aug 7, 2009, at 21:48, Didier Dambrin wrote: > FLAC doesn't preserve every chunk? I thought it did. I only gave a > quick try > but it seemed to have preserved even the most obscure chunks. > Let me check: it even seems to preserve "MIDI note associated to > marker", > which is a very unknown metadata used by SoundForge (& even defined > in a >

This is prompted by trying to run the 'inline' package on Mac OS X Leopard = with R 2.10.1. Mac uses completely crazy temp paths and R uses those as wel= l. The inline package creates source files in the temp directory which it t= hen compiles with R CMD SHLIB and attaches. The compilation fails with the = error message below which seems to be caused by the complexity of the path =

Hi Hugo, I've been able to replicate your bug, including for other distributions (runif, rexp, rgamma, etc) which shouldn't be surprising since they're probably all drawing from the same pseudo-random number generator. ?Interestingly, it does not seem to depend on the choice of seed, I am not sure why that is the case. I'll point out first of all that the R-devel mailing list is

Hi Hugo, I've been able to replicate your bug, including for other distributions (runif, rexp, rgamma, etc) which shouldn't be surprising since they're probably all drawing from the same pseudo-random number generator. ?Interestingly, it does not seem to depend on the choice of seed, I am not sure why that is the case. I'll point out first of all that the R-devel mailing list is

Yes, WavPack is second in my list. FLAC doesn't preserve every chunk? I thought it did. I only gave a quick try but it seemed to have preserved even the most obscure chunks. Let me check: it even seems to preserve "MIDI note associated to marker", which is a very unknown metadata used by SoundForge (& even defined in a buggy way), so I assumed it was saving them

Dear R Experts, I am attempting to run a mixed effects model on a within-subjects repeated measures design, but I am unsure if I am doing it properly. I was hoping that someone would be able to offer some guidance. There are 5 independent variables (subject, condition, difficulty, repetition) and 1 dependent measure (value). Condition and difficulty are fixed effects and have 3 levels each

The interpretation of regular expressions with repetition quantifiers in the 'gregexpr' function seems to have changed between R Version 2.2.0 and 2.3.0. The 'gsub' function, however, gives the same results in R Versions 2.2.0 and 2.3.0. Below is an example that demonstrates the version differences of the 'gregexpr' function. I am not sure whether this new behavior is

> Nope. > This IS a bug: > The negative auto-correlation mostly disappear when I randomize small samples using the R function 'sample'. > Please check thoroughly the code of the 1st mail I sent, there should be no difference between the two R functions I wrote to illustrate the bug. > The two functions that should produce the same output if there would be no bug are

In a lattice 11x11 with 6 repetitions, we want to compare lines to their two parents. 3 of the 6 repetitions are sprinkled and the 3 others not. There are 5 factors : hm (hydrous mode), variety, block, rep and grandrep. grandrep gathers two repetition, a sprinkled and a not (as in Split Plot !). I use lme but I have problems in random. Can someone help me ? Ibnou DIENG

Hello all, This might be one for Digium, but I would like to see some type of Wiki that people would have to wade through before they would get the information on how to subscribe to the list. This wiki should cover most of the basic stuff that gets asked over and over again just to help reduce the amount of repetition that most of you have probably noticed takes place here. I understand

Dear R-experts, I have a problem to formulate non linear mixed effects when more than one explanatory variable is present. I'm using R 1.1.1 under Linux. The version number of the nlme library is 3.1-7. "help(nlme)" says that among several possibilities it is possible to code fixed effects according to fixed = a1 + a2 + ... + an ~ X1 + X2 + ... + Xm where the left hand side

Greetings, I am running R v 1.6.1 on a linux operating system with 2GB physical memory and dual processors. When using BATCH to run a simulation with a super large dataset I can only get through 1 1/2 repetitions before R uses all the memory and the simulation crashes. It starts with 10% of the memory - up to 50% by the end of the first repetition and then starts the second with approx 65% of the

Hello. I recently tried to improve a module I have which is used to create one or more instances of mysql per node. The original module had lot''s of code repetition to get around gaps in my skills. The new improved module has less code repetition but doesn''t seem as clean as I imagined it in my head:) The env is puppet 2.6.4, facter 1.5.8, solaris 10 x86 and nodes.pp

Dear R-Help list, I have a nonlinear least squares problem, which involves a changepoint; at the beginning, the outcome y is constant, and after a delay, t0, y follows a biexponential decay. I log-transform the data, to stabilize the error variance. At time t < t0, my model is log(y_i)=log(exp(a0)+exp(b0)) at time t >= t0, the model is log(y_i)=log(exp(a0-a1*(t_i - t0))+exp(b0=b1*(t_i -

Hi there, I'm quite new to R (and statistics), and I like it (both)! But I'm a bit lost in all these packages, so could someone please give me a hint whether there exists a package for fitting exponential curves (of the type t --> \sum_i a_i \exp( - b_i t)) on a noisy signal? In fact monoexponential decay + polynomial growth is what I'd like to try. Thanks in advance,