similar to: Delay opening office files

Dear list, i have some problems using the snow package to create a SOCK cluster. The errors just occour irregularly but it seems to me that they occour when I try to create more than one cluster on the same machine via different R instances started via submitting LSF jobs to a cluster. Does anyone have an idea how to solve this or where to start digging for solutions? The error messages

Dear all, I work with (vibrational) spectra: some kind of intensity (I) over frequency (nu), wavelength or the like. I want to do fourier transform for interpolation, smoothing, etc. My problem is that the spectra are often irregularly spaced in nu: the difference between 2 neighbouring nu varies across the spectrum, and data points may be missing. Searching for discrete fourier transform

Hello list! I have strange performance issue with an single Windows 7 client in a simple network setup with one samba server, and various windows clients (Win XP, Windows 7). All clients can open shares with explorer, without any delay (the share contents are listed directly). But one client, a lenovo Windows 7 Laptop has strange problems opening these same shares. The time from opening a share,

Hello list, when i wrote my first mail with this content, I received only the lists digest. To be able to answer, I switched this, to single message mode. So, here again. I have strange performance issue with an single Windows 7 client in a simple network setup with one samba server, and various windows clients (Win XP, Windows 7). All clients can open shares with explorer, without any

Hi. I am trying some S-Plus scripts that I used a few years ago on R. Many things have worked flawlesly and I am very impressed with the work the developers have done. (As I remember, the license fee on S-Plus at that time was ~$4500 per seat (AIX) ouch!!) So, thank you. My question relates to the intrp function, which takes irregularly spaced xyz data and produces a regular xyz grid

Hello, I'd like to make a z(x,y) plot for irregularly spaced x,y. What are routines are available in R for this purpose? Thanks, Mark

I have three time series, x, y, and z, and I want to analyse the relations between them. However, they have vastly different resolutions. I am writing to ask for advice on how to handle this situation in R. x is a stimulus, and y and z are responses. x is a rectangular pulse 4 sec long. Its onset and offset are known with sub-millisecond precision. The onset varies irregularly -- it doesn't

I am new to R and am trying to solve the following problem: I have a data file containing tick-by-tick, millisecond level prices for some stocks. I have another file or two containing orders and trades, again, with millisecond time-stamps. Both of these files are irregularly spaced and the time stamps are in an iso format (<date> <time>.<millisecond>) I would like to create a

Hello R experts, The following problem outstrips my current programming knowledge. I have a dataframe with two fields that looks like the following: ID Contract 01 1 01 1 02 2 02 3 02 1 03 2 03 2 03 2 03 1 03 1 03 1 etc... I would like to end up with a dataframe with one row per ID where the value in the contract field would be the

hi guys: sorry, one more. I have irregularly spaced time series, often with big gaps. a good analogy is: tsvec <- ts(c(1,NA,2,NA,1, NA, 2),freq=12, start=c(1965,12)) Unfortunately, plot( tsvec ) does not plot the data. is it possible to convince plot to just ignore the NA items (either with points or lines) help appreciated. /iaw

Good day: I am trying to use readcsvIts("nwr_data_qc.txt",informat=its.format("%Y%m%d%h%M %Y"),header=TRUE,sep="",skip=0,row.names=NULL,as.is=TRUE,dec=".") to read in a file (nwr_data_qc.txt) that looks like this: Time Y M D H Min CO2 2000.18790 2000. 3. 9. 18. 30. 373.60 2000.20156 2000. 3. 14. 18. 30. 373.34

Hi, ? We are using Samba3 as PDC. Sometimes (once a month, irregularly) Samba stop serving clients and log file looks like this: ?.. [2014/05/19 08:20:51.411247,? 0] lib/fault.c:47(fault_report) ? =============================================================== [2014/05/19 08:20:51.411576,? 0] lib/fault.c:48(fault_report) ? INTERNAL ERROR: Signal 11 in pid 24222 (3.6.6) ? Please read the

== Summary == * Problem: BibTeX entries extracted from R packages via citation() require too much manual editing to be of general use. * Proposal: Date: fields should be made mandatory in package DESCRIPTION files, perhaps beginning with warnings from R CMD check * Proposal: Package authors should be encouraged to use a (new) Contributors: field in the DESCRIPTION file rather than packing all

Hi to all, Here is a question which I cannot solve. Appreciate so much for any suggestions! I have a squared region which is irregularly divided into many rectangular patches. Each patch is associated with a value, and two patches possibly share a common value. I hope to fill in each patch a pattern according to its value. For instance, if a patch has value 1, then I fill in that patch

Hi, I have a irregularly spaced time series dataset, which reads in from a .csv. I need to convert this to a regularly spaced time series by filling in missing rows of data with NAs. So my data, called NtuMot, looks like this (I've removed some of the additional rows for simplicity).... ELEID date_time height slope 1 2009-06-24 00:00:00

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

PROBLEM `signif' does change to scientic notation at different levels depending on the number of significant digits in the input. This can generate tables where figures change ``irregularly'' from normal to scientific notation. PROPOSAL The change to the scientific notation should be made only if the figure in scientific notation - with potentially as

Hi, I'm trying to determine the phase of irregularly sampled data. Is there any particular reason why both spec.pgram and spec.ls return phase<-NULL for vectors? Thank you. Lisandro xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxx Lisandro Benedetti-Cecchi Associate Professor in Ecology Department of Biology - University of Pisa Via

Hi, I have three matrices (X,Y,P) with the same dimension. The X,Y grid is regular and I want to perform linear interpolation to pick out certain points. In matlab appropriate call is something like Pout=interp2(X,Y,P,Xout,Yout, method="linear") where Xout and Yout are the locations where I want the Pout data (typically a different grid). (Scipy has this routine in

Hi, I have a bunch of irregularly spaced xts time series (with a POSIX index), and I'm trying to write a function that fillls the missing days. Using a solution suggested by Gabor Grothendieck for zoo, I wrote the following: # FD: Fill missing days FD<-function(ser) {rng<-range(time(ser)) > temp<-merge(ser,xts(,seq(rng[1],rng[2],"day"))) >