search for: sawtooth

My tuneR sawtooth wave function generator is broken. When I use the sine function, I get exactly what I expect: a sine wave whose frequency is defined by the freq parameter. In particular, higher frequencies have shorter wavelengths (more cycles per second means shorter waves). When I create a sawtooth wave, the...

Ccing the maintainer if the tuneR package. Looks to me like sawtooth (and square) don't behave as expected when using xunit="samples". Workaround is to use xunit="time" instead: sawtooth(110,duration=1/100,samp.rate=sample_rate,xunit="time") I looked at the code but found it to be opaque. -- Sent from my phone. Please excuse my b...

Hi John (and other authors of ChoiceModelR package), I am experiencing a weird thing when using the function choicemodelr under R3.0.1. Before I updated to R3.0, I had used choicemodelr unde R2.15. It was always as fast or faster than exactly the same task in Sawtooth software. Now, I've tried to run it under R3.0.1. It seems to be doing the job. But something is slowing it down dramatically. In the beginning, it showed time left for estimation as 14 min. But then time passed and the time left increased(!) instead of decreasing. My whole run took 1.8 hours....

...a large number of models. I could certainly do this, but I'm thinking that it would be better to estimate a Hierarchical Bayes model to get coefficients for each individual respondent. This way, I could pull out the people I need for a particular segment and use just those coefficients. Sawtooth's program for MaxDiff can do this. Is there any R package to do an HB estimation for a discrete choice (logit) model? Thanks, Walt ________________________ Walter R. Paczkowski, Ph.D. Data Analytics Corp. 44 Hamilton Lane Plainsboro, NJ 08536 ________________________ (V) 609-936-8999 (F)...

..., 0.7578, 0.8058, 0.8457, 0.8783, 0.9019, 0.9212, 0.9417, 0.9558, 0.9662, 0.9732, 0.9802, 0.9828, 0.9881, 0.9896) matplot(n,cbind(coves,es,t),type ='l', col=c("red","blue","black"),xlab='n',ylab='power') I want power curves to be smooth (avoid sawtooth curve), I try the follows, ##Spline library(modreg) st<- smooth.spline(t) ses<- smooth.spline(es) scoves<- smooth.spline(coves) plot(scoves,col='red', type='l') lines(ses, col='blue',type='l') lines(st,col='black',type='l') The shapes ar...

...dependent variables are in the 10 minutes range. I just fired up my linux console (ubuntu) and calculation takes not even 2 seconds here. I've attached a screenshot of my system performance during calculation, maybe that could already be a first hint (interestingly I'm seeing some kind of sawtooth profile on physical memory history). Generally it's not a problem for me as I can use the linux version, but maybe you have an idea what makes it so slow. If I can provide you with more details or help on fixing it, let me know. Here's the dump for reconstruction: > library(eha) >...

...hen later call it with the same filename and a non-zero offset (the "overdub"). When I do this, I experience the following: * The file has a strange signal superimposed on top of the normal recorded sound signal, from exactly the offset sample forward. In Audacity it looks like a perfect sawtooth wave, however one made up of distinct sharp samples. Needless to say, this produces an annoying buzzing sound on top of the normal sound from the offset point forward, that is to say that the "original" recording with offset 0 sounds great, and then the buzzing begins with the "overd...

Hi, This patch improves compression a very tiny bit on average, but up to 0.1 percentage point for classical music. I haven't found any tracks that show worsening compression with this patch. -------------- next part -------------- A non-text attachment was scrubbed... Name: 0001-Improve-LPC-order-guess.patch Type: text/x-patch Size: 0 bytes Desc: not available Url :

...d take a look at what the name of the variable is in the dataframe--it's a line of code. Also, write.dta is supposed to turn factors into variable labels in Stata, but I get no variable labels in Stata (starting w/ data that has factors). Finally, when I try to read an spss dataset created by Sawtooth into R using read.spss, I get a multitude of variables that aren't in the original dataset and have nothing in them. Below, my sessionInfo: > sessionInfo() R version 2.7.1 (2008-06-23) x86_64-pc-linux-gnu locale: LC_CTYPE=en_US.UTF-8;LC_NUMERIC=C;LC_TIME=en_US.UTF-8;LC_COLLATE=en_US.UT...

Is inbound or outbound? What port? tcp or udp? ------Mensaje original------ De: Bowie Bailey Remitente: centos-bounces at centos.org Para: CentOS mailing list Responder a: CentOS mailing list Asunto: [CentOS] Outbound traffic spike every 30 minutes Enviado: 3 de dic de 2013 19:36 Since Sunday morning, one of my CentOS servers has been generating a small spike of outbound traffic every 30

On two blades both with Atom Processors but different Graphics chips (a Matrox WPCM450 on one, Intel 82945Gon the other). One machine had distorted video and required logging out of KDE and then back again. The other one had no video and required ssh from another box to restart X remotely (which I didn't think I should be able to do). Does anyone else see problems with KDE ( or X) after the

I have certain power users who can't login through POP3 or IMAP from their computer while being receiving mail on their cell phones (pop3), despite pop3_lock_session = no Am I hitting some other limit? I don't see any error in dovecot.log but a generic failed login: Oct 21 10:31:44 imap-login: Info: Disconnected (auth failed, 1 attempts in 2 secs): user=<someuser at

Dear R-helpers ? I have 7 data points that I want to fit a continuous curve to, that should look similar to a sine wave My data points would mark the local minima and maxima respectively. This is what I?ve got so far. And I would keep doing so, but sadly nls() then says that it has reached the maximum number of Iterations? ?

I'm a bit confused about the nls package, I'm trying to use it for curve fitting. First off, the documentation for nls says ``see `nlsControl' for the names of the settable control values'' -- this is wrong, it should be nls.control (minor point but had me confused for a moment). Now I'll try something very simple (maybe too simple):