similar to: tseries

Time Series functions in R ========================== I think a good basic S-like functionality for library(ts) in base R would include ts class, tsp, is.ts, as.ts plot methods start end window frequency cycle deltat lag diff aggregate filter spectrum, spec.pgram, spec.taper, cumulative periodogram, spec.ar? ar -- at least univariate by Yule-Walker arima -- sim, filter, mle, diag, forecast

As the 0.65 release should happen within the next few weeks, now would be a good time for updating/improving our impressive collection of add on packages. Issues to look look into include: * Valid and complete DESCRIPTION, TITLE and INDEX files. * Complete data/00Index files (if applicable). * All examples should be executable to that R CMD check passes. * src/Makefile (if there, most likely

-------- Original Message -------- Subject: [R] Re: tseries Package for R Date: Mon, 27 Sep 2004 23:56:34 -0800 From: Martin Renner <martin.renner at stonebow.otago.ac.nz> To: Adrian Trapletti <a.trapletti at bluewin.ch> References: <61CBB4C9-10C7-11D9-A624-000D932E990C at comcast.net> <4158F5B6.3020103 at bluewin.ch> see http://cran.stat.ucla.edu/bin/macosx/ and

Thanks a lot for "tseries"! The new (0.1-2) version of the tseries package contains the following in ./README : >> Author(s): A. Trapletti <A.Trapletti@ci.tuwien.ac.at>, >> B. LeBaron ("./src/bdstest.c"), >> K. Krischer, and T. M. Kruel ("./src/muin2ser.f", >> "./misc/mutinfo-1.21b.tar.gz") >>

There is now a preliminary version of a time series package in the R-devel snapshots, and we would welcome feedback on it. It is based in part on the packages bats (Martyn Plummer) and tseries (Adrian Trapletti) and in part on code I had or have written. (Thanks for the contributions, Martyn and Adrian!) Some of the existing ts code has been changed, for example to plot multiple time series, so

Full_Name: Przemys³aw Matuszewski Version: R-1.1.0 OS: Linux RH 6.2 Submission from: (NULL) (195.117.211.244) I have a problem with the package tseries_0.5-2. The source of tseries_0.5-2 was compiled by command R INSTALL /path/to/package. There was build the tseries library. Now when I try to load the package I get the message: ........................... Type "demo()" for

Hello, I am having a problem with the get.hist.quote command (tseries library) in the Windows version. This problem is not happening is the Linux version (Mandrake 8.2). Attached is the error message, for an example included in the help file. Also the R.Version() details is attached. Please, do you know if there is a workaround ? Thanks, Carlos. ++++++++++++++++++++++++ ERROR MESSAGE

Hi ALL: I am trying to use get.help.quote from library(tseries). I tried to run the example from help(get.hist.quote) but R complained. Here is the command I used and the response: ibm <- get.hist.quote(instrument = "ibm", start = "1998-01-01") trying URL

Dear Dr. Trapletti, I am trying to use your tseries 0.7-0 package with R 1.2.1 (the latest version) under redhat linux 6.2, but the command library(tseries) causes R dump to core with a segmentation fault. Do you have any suggestions how to fix this? Thank you, Keith Dr. Keith M. Briggs, Complexity Research Group, BTexaCT. Adastral Park admin2 pp5, Martlesham Heath, IP5 3RE, Suffolk, UK Tel:

Hi R specialists, The na.omit.ts() method fails when the time series contains internal NA's. How can these automatically be removed? > spectrum(ts.mNDII, na.action=na.omit) Error in na.omit.ts(as.ts(x)) : time series contains internal NAs How can the na.action be activated correctly? > acf(ts.Lin, type=c("correlation"), na.action=na.omit) Error in na.omit.ts(as.ts(x)) :

Norbert Klink wrote: > Hi! > > I would like to use your tseries GARCH functionality in conjuction with > S-Plus 6 under Windows. Unfortunately, in order to make DLLs usable for > S-Plus it requires you to generate a so-called "S-Plus Chapter DLL", which > carries some S-Plus specific overhead. Loading your DLLs as they are > wouldn't work. Trying to compile the

Dear R list I am trying to understand the auto-correlation concept. Auto-correlation is the self-correlation of random variable X with a certain time lag of say t. The article "http://www.mit.tut.fi/MIT-3010/luentokalvot/lk10-11/MDA_lecture16_11.pdf" (Page no. 9 and 10) gives the methodology as under. Suppose you have a time series observations as say X =

I'm analizing the Argentina stock market (merv) I download the data from yahoo library(tseries) Argentina <- get.hist.quote(instrument="^MERV","1996-10-08","2003-11-03", quote="Close") merv <- na.remove(log(Argentina)) I made the Augmented Dickey-Fuller test to analyse if merv have unit root: adf.test(merv,k=13) Dickey-Fuller = -1.4645,

Fritz just put the first version of a new time series package to the contrib section at CRAN. The package is called "tseries.tgz" and provides a library for time series analysis. It contains acf Autocorrelation Function adf.test Augmented Dickey-Fuller Test amif Auto Mutual Information Function bds.test BDS Test

Fritz just put the first version of a new time series package to the contrib section at CRAN. The package is called "tseries.tgz" and provides a library for time series analysis. It contains acf Autocorrelation Function adf.test Augmented Dickey-Fuller Test amif Auto Mutual Information Function bds.test BDS Test

>>>>> On Fri, 02 Jul 1999, Adrian Trapletti <Adrian.Trapletti@wu-wien.ac.at> said: Adrian> There seems to be a problem with plot.ts (R Version 0.64.2) > x<-cbind(1:10,2:11) > x<-as.ts(x) > plot(x) Adrian> Error: subscript (20) out of bounds, should be at most 10 This is definitely a bug --> CC: R-bugs ALL NOTE : This is *not* new

Dear all, Is there a test in R for the randomness of a sequence of observations (e.g. to test the random number generator)? Specifically I am looking for autocorrelations which are not necessarily linear in nature, which the acf function does not seem to be flexible enough to detect as it tests for linear autocorrelation. Thanks in advance, Paul.

R: Is there an easy way to get the acf and pacf for an irregular times series? That is, the acf and pacf with lag lengths that are in units of time, not observation number. Thanks, Jason Higbee Research Associate Federal Reserve Bank of St. Louis The views expressed in this email are the author's and not necessarily those of the Federal Reserve Bank of St. Louis or the Federal Reserve

Hi there, I have R 0.64.2. I wonder if this R has acf function to calculate autocorrelation? since the help(acf) doesnt seem to be able to help me. thanks, Peppy -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Fritz just put tseries_0.3-1 on CRAN. It should now be more compatible across different platforms than 0.3-0. Thanks to Brian Ripley, Karl Syring, and Dirk Eddelbuettel. Adrian -- Adrian Trapletti, Vienna University of Economics and Business Administration, Augasse 2-6, A-1090 Vienna, Austria Phone: ++43 1 31336 4561, Fax: ++43 1 31336 708, Email: adrian.trapletti at wu-wien.ac.at