similar to: Evolutionary spectrum

Dear All, A 1-year postdoctoral position in Computational Biology/Bioinformatics/Evol. Biology/Statistics is available in Madrid, Spain. Brief description: Simulation and analysis of evolutionary processes in cancer. Requirements: - Postdoc younger than 30 years. - Be registered as resident ("estar empadronado") in Madrid, Spain, since 08-August-2016. - Be registed in the

Hi I'm quite new to this area a bit but I'm wondering if there is any implementation of multi-objective optimization using evolutionary approach available in R? Any point to reference would be really appreciated. Thank you. - adschai

On Tue, 2003-11-18 at 15:11, Vikram Adve wrote: > This is a hot topic in the compiler research community, but the focus > there is on > (a) choosing the right optimization sequences internally and > transparently, rather than through combinations of options, > (b) performance prediction techniques so you don't actually have to run > gazillion different choices, and perhaps

This is a hot topic in the compiler research community, but the focus there is on (a) choosing the right optimization sequences internally and transparently, rather than through combinations of options, (b) performance prediction techniques so you don't actually have to run gazillion different choices, and perhaps can even avoid the problem of choosing representative inputs, as you talked

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I'm cross-posting the message below (from GCC list) because I believe it would (at some point) be very beneficial to build an evolutionary optimization pass into LLVM. The idea would be to discover the perfect set of optimizations for a given program by trying them all and analyzing the execution times of each. This would be somewhat like profile driven optimization except the profile is

--Qz2CZ664xQdCRdPu Content-Type: multipart/mixed; boundary="BI5RvnYi6R4T2M87" Content-Disposition: inline --BI5RvnYi6R4T2M87 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Hi! Unfortunately there is a very unpopular announcement to be made on this list: A netfilter security advisory. Phillipe Biondi has been

Hi, I'm wondering why the spectrum() phase of quadrature couple isn't purely +/-pi. But mostly, I'm looking for a recommended way to take a 2-D spectrum and convert it into a single complex array. Kindly consider: # 10 Hz sine wave 10 seconds long sampled at 50 Hz deltaT = 1/50 t = seq(0, 10, deltaT) w = 2 * pi * 10 x = ts( sin( w * t ), deltat = deltaT ) y = ts( sin(

Hello. Does anyone know how to generate a power spectrum from the STFT function in package e1071? The output for this function supplies the Fourier coefficients, but I do not know how to relate these back to the power spectrum. Alternatively, if anyone is aware of other packages/functions that perform short time Fourier transforms, that would also be helpful. Thanks. -- View this message in

Hi, everyone, I tried to use "spectrum()" or "spec.pgram()" to get a periodogram of a time series but they didn't work. Even the examples given in the help file didn't work (all with the same error message, below). And the 'ts'ibrary was loaded with "library(ts)" or "library("ts"). I also tried library(tseries) but got the same problem.

hi R users I have a large 1D dataset and some of them is NA value . I found I cound get the spectrum by such a command. ua=c£¨10£¬30 £¬40£¬50£¬NA£© spectrum(ua) and I could not use na.rm just like mean or sd function How could I get the spectrum of ua ? thank you . -- TANG Jie [[alternative HTML version deleted]]

Hi All, I have two time series, each has length 354. I tried to calculate the coherency^2 between them, but the value I got is always 1. On a website, it says: " Note that if the ensemble averaging were to be omitted, the coherency (squared) would be 1, independent of the data". Does any of you know how to specify properly in R in order to get more useful coherency? The examples in

Dear R users I have two questions about estimating the spectral power of a time series: 1) I came across a funny thing with the following code: data(co2) par(mfrow=c(2,1)) co2.sp1<-spectrum(co2,detrend=T,demean=T,span=3) co2.sp2<-spectrum(co2[1:468],detrend=T,demean=T,span=3) The first plot displays the frequencies ranging from 0 to 6 whearas the second plot displays the same curve but

Hi everybody! I am searching for an R implementation of multi-scale singular spectrum analysis (SSA), which was introduced by Yiou etal (2000) (Data-adaptive wavelets and multi-scale singular-spectrum analysis) and further described in Ghil etal (2002). For SSA alone I found an package recently published on r-forge: http://r-forge.r-project.org/projects/simsalabim/ I am happy about any

Dear list, I apologies first for my English, hope you will understand well my question. I am working on 1/2 hour piezometric data, time unit is second. They present daily oscillation when using the spectrum() function. What I am really interested in, is to find the amplitude corresponding to this oscillation. I work with a college using Matlab, and although we apply the same methodology, our

Hi, I have a plot that is essentially the same as that in Figure 5.6 of "Lattice - Multivariate Data Visualization with R". The key difference is that I would like to add a title to top of the grey color spectrum legend, but have thus far been unsuccessful. I've tried a variety of options, but to no avail. I'm new to R, and admittedly I don't understand the

Hi everybody! I am searching for an R implementation of multi-scale SSA (singular spectrum analysis), which was introduced by Yiou etal (2000) (Data-adaptive wavelets and *multi*-*scale *singular-spectrum analysis<http://linkinghub.elsevier.com/retrieve/pii/S0167278900000452>) and further described in Ghil etal (2002). For SSA alone I found an package recently published on r-forge:

Reading Monty's message, I better re-post this one :-). In another thread the following was said: > It might help if you also mentioned that the sound quality of Ogg is > significantly better than MP3 (assuming that you use regular MP3, not > MP3Pro), especially at 32kbps. Speaking of which, would there be anything to stop Vorbis, maybe not v1 but in the future, to use similar

I am reading some documentation about Cross Spectrum Analysis as a technique to compare spectra. My understanding is that it estimates the correlation strength between quasi-periodic structures embedded in two signals. I believe it may be useful for my signals analysis. I was referred to the R functions that implement this type of analysis. I tried all the examples which generated a series of

Does anyone know of any tools to do multichannel(multivariate) singular spectrum analysis (M-SSA) in R? Seems like this would be a useful thing to have. -Hilbert [[alternative HTML version deleted]]