search for: tapered

I am trying to load a .so file and get the following error message: > dyn.load("taper.so",local=F) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library "/home/hpc1367/runs/taper/taper.so": ld.so.1: /usr/local/lib/R/bin/R.bin: fatal: relocation error: file /home/hpc1367/runs/taper/taper.so: symbol f90_init: referenced symbol not

Full_Name: Michael Stein Version: Version 2.1.1 OS: linux Submission from: (NULL) (128.135.149.112) The documentation for spec.taper says p: The total proportion to be tapered, either a scalar or a vector of the length of the number of series. Details: The cosine-bell taper is applied to the first and last 'p[i]/2' observations of time series 'x[, i]'. However, the program actually applies the taper to the first and last p[i] obser...

Hello, I propose two small changes to spec.pgram to get modest speedup when dealing with input (x) having multiple columns. With plot = FALSE, I commonly see ~10-20% speedup, for a two column input matrix and the speedup increases for more columns with a maximum close to 45%. In the function as it currently exists, only the upper right triangle of pgram is necessary and pgram is not returned by

Hi list, Does anyone know if there is a library in R that does MTM-SVD method for spectral analysis? Thanks ----- Yasir H. Kaheil Columbia University -- View this message in context: http://www.nabble.com/Spectral-analysis-with-mtm-svd-Multi-Taper-Method-Combined-with-Singular-Value-Decomposition-tp21671934p21671934.html Sent from the R help mailing list archive at Nabble.com.

Dear all, This is potentially a bug in spec.pgram, when the number of samples is odd,spec.pgramreturns a different result withfast = TRUE, the example below contains the two varieties with a reference spectrum calculated manually. the number of returned spectra is also larger (50 compared to 49) whenfast = TRUE x <- rnorm( 99 ) plot(spec.pgram(x, taper = 0 , detrend = FALSE , plot =

Hi, I am far from experienced in both R and time series hence the question. The code for spec.pgram() seems to involve a circularity of the kernel (see below) yielding new power estimates to all frequencies computed by FFT. " if (!is.null(kernel)) { for (i in 1:ncol(x)) for (j in 1:ncol(x)) pgram[, i, j] <- kernapply(pgram[, i, j], kernel, circular = TRUE)

Hello, I'm new to R. In Sapa package there's an example for function SDF like data <- as.numeric(sunspots) methods <- c("direct","wosa","multitaper","lag window") S <- lapply(methods, function(x, data) SDF(data, method=x), data) x <- attr(S[[1]], "frequency")[-1] y <- lapply(S,function(x) decibel(as.vector(x)[-1])) which

Linux RH 7.3, Samba 2.2.7a NT 4.0 SP6 - Backup Exec 8.5 The linux box is running the Backup Exec client for Unix ('http://seer.support.veritas.com/docs/192093.htm') Occasionally, when doing a backup the entire linux system freezes. I have to do a hard reboot without a shutdown, etc. There is 40 plus gigs on the backup, so I dont think a tar and copy would be bery efficient. I am

hello, I have been using the per function in package longmemo to obtain a simple raw periodogram. I am considering to switch to the function spec.pgram since I want to be able to do tapering. To compare both I used spec.pgram with the options as suggested in the documentation of per {longmemo} to make them correspond. Now I have found on a variety of examples that there is a shift between

Great info. I found some descriptions of st5 (md5 fp) and ffp, where I assume that "fp" is just a Taper abbreviation for "fingerprint" - or signature as it's called in the flac header. However, I could not find these utilities or source code. What I found looked like instructions for a gui-based program. I think it would be easier to support Mac if st5 were

I am interested in tapping into LAPACK functionality directly from R. Using R-2.4.1 for Windows, I was able to do so ala: dyn.load("bin/Rlapack.dll") is.loaded("dstebz") # returns TRUE N <- 100 NW <- 4 n.tapers <- 5 tpW <- (2 * pi * NW)/N otNmo <- 1:N D <- as.double(cos(tpW) * ((N - 1 - 2 * (0:(N - 1)))/2)^2) E <- as.double((otNmo * (N - otNmo))/2) z

Hi everybody, I'm a beginner R user and I'm trying to use the package "sapa" to estimate the spectral density function of several time series using the SDF function. For each time series, I want to calculate the density function at two temporal resolutions (daily and monthly). The monthly values calculated as a mean of the daily values. I first create a ts object for both series

Hi everyone, first of all, I would like to say that I am a newbie in R, so I apologize in advance if my questions seem to be too easy for you. Well, I'm looking for periodicity in histograms. I have histograms of certain phenomenons and I'm asking whether a periodicity exists in these data. So, I make a periodogram with the function spec.pgram. For instance, if I have a histogram h, I

I have a beefy machine (Intel dual-quad core, 16GB memory 2 x GigE) I have loaded RHEL5.1-xen on the hardware and have created two logical systems: 4 cpus, 7.5 GB memory 1 x Gige Following RHEL guidelines, I have it set up so that eth0->xenbr0 and eth1->xenbr1 Each of the two RHEL5.1 guests uses one of the interfaces and this is verified at the switch by seeing the unique MAC addresses.

Hi, I want to apply a function (in my case SDF; package ?sapa?) repeatedly over discrete sections of a daily time series object by sliding a time window of constant length (e.g. 10 consecutive years or 1825 days) over the entire ts at increments of 1 time unit (e.g. 1 year or 365 days). So for example, the first SDF would be calculated for the daily values of my variable recorded between years 1

I use Sony (previously Sonic Foundry) Sound Forge, which allows me to save audio files in .w64 (Wave 64) format to get around the 2GB .wav file limitation. W64 was invented by Sonic Foundry, and is an open format as far as I know. The only programs I know about using the .w64 format at the moment are Sound Forge and Steinberg Nuendo, although there may be others out there. With increasing

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

I realize that it isn't much of an improvement, but AIFF supports 4GB recordings, and flac is compatible with this. Being an avid "taper" myself, I have, on many occasions recorded up to this limit, and I always back up my original recordings using flac. W64 support is more than welcome, but AIFF support gets you twice the length right away. Brian Willoughby Sound

shntool (http://etree.org/shnutils/, http://shnutils.freeshell.org/) is Windows-only, but the source is available. > Great info. I found some descriptions of st5 (md5 fp) and ffp, where I > assume that "fp" is just a Taper abbreviation for "fingerprint" - or > signature as it's called in the flac header. However, I could not find > these utilities or source

Hi, I have recently used the CTS package in order to use the Lomb-Scargle periodogram (spec.ls) function. I have noticed an issue that I hoped you may be able to explain. If a regularly spaced time series has two points removed, one at either side of a single data point (thus making an irregularly spaced time series), a spectrum with a very large peak at the highest frequencies is produced. An