similar to: (OT) Fourier coefficients.

Dear all, I've only just joined this list, but I can't find any mention of this idea anywhere else, so I thought I'd just post here before getting too deep into programming and possibly reinventing the wheel. Here at Aber, we have around 30 unix and linux servers doing core services. Each one is maintaining its own logfiles and, for various reasons, we want to keep these on the

I did a fourier transform on a function in time domain to get the following functions in frequency domain (in latex): $Y_1[\omega] = \frac{1}{1-\phi_1 e^{-jw}}$ $Y_2[\omega] = \frac{1}{1-(\phi_1 + \phi_2)e^{-jw} +\phi_1\phi_2e^{-2jw}}$ How do I find the spectrum of this function for given $\phi_1$ and $\phi_2$ coefficients and in the discretization interval $w = [-\pi:.1*\pi: \pi]$? Then, how

Dear listers In R, if I have a sequence x(t), t=1,...N, fft(x) is actually giving us sum(x(t)exp(-i*omega*t)) at fourier frequency omega= 2*pi*i/N, i=0,1,...(N-1). The question is if I want to calculate sum(x(t)exp(-i*2*omega*t)), how can I do it? thanks a lot! ------------------------------- liyun (Lauren) Ma Dept of Statistics North Carolina State University

Apologies for the off-topic question; as usual I'm trying to draw upon the unparalleled knowledge and sagacity of the r-help list. Please reply off-list if you can help me out. A collaborator of mine found a formula we need, on sheets which he had photocopied out of a book, some years ago. He cannot remember which book (he's getting to be as senile and forgetful as I am, poor bloke!).

well if you want to find the spectral density aka what frequencies explain most of the variance then I would suggest the spectral density. This can be implemented with spec.pgram(). This is conducted with the fast fourier transform algorithm. a<-ts(data, frequency = 1) #make the time series with 365readings/365days ?spec.pgram and you should be able to take it from here This will

Just now I again had occasion to want nested describe lists in a documentation file. I found that the bug which I reported on 18 October, 2001 still persists. I checked on the bug report at the R web page, and found that the notes say ``Not a problem in R 1.4.0 (2001-12-08)''. Well, it's still a problem for me --- using R 1.4.1. (Details: platform sparc-sun-solaris2.7 arch

Looks like this actually comes from readLines(), nothing to do with source() as such: In current R-devel (still): > f <- file("http://home.versanet.de/~s-berman/source2.R", encoding="UTF-8") > readLines(f) character(0) > close(f) > f <- file("http://home.versanet.de/~s-berman/source2.R") > readLines(f) [1] "source.test2 <- function()

The Department of Mathematics and Statistics at the University of New Brunswick, Fredericton, N. B., Canada, is advertizing a tenure track position in Statistics, starting 1 July 2003. Please see http://www.math.unb.ca/job-stat.html for details. cheers, Rolf Turner rolf at math.unb [My apologies to those who receive multiple copies of this email.]

>>>>> peter dalgaard >>>>> on Sun, 3 Jun 2018 23:51:24 +0200 writes: > Looks like this actually comes from readLines(), nothing > to do with source() as such: In current R-devel (still): >> f <- file("http://home.versanet.de/~s-berman/source2.R", encoding="UTF-8") >> readLines(f) > character(0)

Hello all (especially MCLUS users). I'm trying to make use of the MCLUST package by C. Fraley and A. Raftery. My problem is trying to figure out how the (model) identifier (e.g, EII, VII, VVI, etc.) relates to the covariance matrix. The parameterization of the covariance matrix makes use of the method of decomposition in Banfield and Rraftery (1993) and Fraley and Raftery (2002) where

My google search for Plackett's Algorithm didn't return too much except that Plackett's algorithm appears to be useful in Control Theory - it is elaborated as "Plackett's algorithm for on-line recursive least squares estimation". Sounds something like what I want. I am looking at developing a user modelling type app (new data points coming in and wanting to dynamically

In R 3.5.0 using the `encoding' argument of source() prevents loading files from the internet; without the `encoding' argument files can be loaded from the internet, but if they contain non-ascii characters, these are not correctly displayed under MS-Windows (but they are correctly displayed under GNU/Linux). With R 3.4.{2,3,4} there is no such problem: using `encoding' the files are

Thanks to Rolph Turner and Jason Turner ... I guess I was too excited about getting back on the list after an absense of several years ... I'll be a little more thoughtful about the problem before posting next time, and a little less trigger-happy with the "Send" e-mail button. Never-the-less, much appreciated. - Mohamed -----Original Message----- From: Rolf Turner

Thanks for the report, fixed in R-devel (74848). Best Tomas On 06/04/2018 02:41 PM, NELSON, Michael wrote: > > On R 3.5.0 (Mac) > > The issue appears when using the default (libcurl) method and specifying the encoding > > Note that using method='internal' causes a segfault if used in conjunction with encoding. (and works when encoding is not set) > > urlR <-

...as promised. This describes the mdct used in my d.m.l patch. I think it is the same as the Lee fast-dct. I typed it in a kind of pseudo-TeX, 'cause the ascii art would kill me. Hope you can read TeX source; if not, ask someone who can to make a .ps/.gif/.whatever of the TeX output, and put it on a webpage or something. I'm to lazy to do it (and besides, I don't have access to TeX,

On R 3.5.0 (Mac) The issue appears when using the default (libcurl) method and specifying the encoding Note that using method='internal' causes a segfault if used in conjunction with encoding. (and works when encoding is not set) urlR <- "http://home.versanet.de/~s-berman/source2.R" # works url_default <- url(urlR) scan(url_default, "") # Read 7 items # [1]

This question has little or nothing to do with R; as usual I'm simply hoping to take advantage of the great depth of knowledge and expertise in the R community. Anyone who is interested in replying should send email directly to me (rolf at math.unb.ca) and not to this list. To get to my question: In a two person zero-sum game, the value of the game to the row player is v_r = max min

Hi, It is my understanding that the eigenvectors of a circulant matrix are given as follows: 1,omega,omega^2,....,omega^{p-1} where the matrix has dimension given by p x p and omega is one of p complex roots of unity. (See Bellman for an excellent discussion on this). The matrix created by the attached row and obtained using the following commands indicates no imaginary parts for the

On Mon, 4 Jun 2018 10:44:11 +0200 Martin Maechler <maechler at stat.math.ethz.ch> wrote: >>>>>> peter dalgaard >>>>>> on Sun, 3 Jun 2018 23:51:24 +0200 writes: > > > Looks like this actually comes from readLines(), nothing > > to do with source() as such: In current R-devel (still): > > >> f <-

Hello, I was looking for a search engine for a small internal documentation site and found xapian and omega. Downloaded and compiled it using msys and ming on a german windows xp system. Finally installed apache on the same box. Following the omega example I copied the book to .../apache/htdocs and startet the omindex which hang up on the first document found. Even on very short doc with