similar to: farimaSim

hi all, I have a simple question that does power spectral analysis related to capacity dimension, information dimension, lyapunov exponent, hurst exponent. If yes then please show me the way. I am newbie in the world of chaos. Sayonara With Smile & With Warm Regards :-) G a u r a v Y a d a v Senior Executive Officer, Economic Research & Surveillance Department, Clearing

>> It is looking like a real pain to translate the current set of html files to >> this format which means that there is going to be some real work required in >> getting a 3.11 version going. > Is it possible that the HTML->RTF->WinHelp generation pointer I sent > you would work faster? Point being that you could generate the RTF > file on a machine with long

good morning (here) At a customer we face the issue that a new user (we tested creating via RSAT and samba-tool) can't login to the DM server, but works on the DC. DM: gentoo linux, samba 4.6.7 DC: Debian 9.1, samba 4.6.7 - on the DM "main": main ~ # smbclient -L localhost -U hansi%Kwaksi29+ session setup failed: NT_STATUS_LOGON_FAILURE main ~ # wbinfo -i hansi failed to call

Hello rails, I have a controller called file with a method get that returns me a file from the db. want to do the following: When calling http://localhost:8080/file/get/11/hansi.txt i want that rails does the same as if i would call http://localhost:8080/file/get/11 This i not the case. I get a 404. This is useful as this makes the filename in the browser downloading the

<!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:1; mso-generic-font-family:roman; mso-font-format:other; mso-font-pitch:variable; mso-font-signature:0 0 0 0 0 0;} @font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable;

If x is a data.frame containing a column of mode character, this column is changed to a factor after applying fix(x). Example: R> x_data.frame(a=1:3,b=letters[1:3],c=c("hansi","pepi","karli")) R> x$c_as.character(x$c) R> is.character(x$c) [1] TRUE R> is.factor(x$c) [1] FALSE R> fix(x) ## I change "karli" to "sepp" R> x$c [1]

Hi, I'm using the function fracdiff and can not figure out how to get the estimated values for sigma2 or confidence intervals for the parameter estimates. Does anyone know how to obtain these values? Thanks, Melissa

Full_Name: Jussi Mäkinen Version: 1.6.2 OS: Win2000 Submission from: (NULL) (193.210.145.2) I tried to download fracdiff from http://www.stat.unipg.it/stat/statlib/R/CRAN/ but I got the messages box: The procedure entry point daxpy_ could not be located in the dynamic link library R.dll and the following lines to RGui: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable

I was sniffing in the fracdiff library (this is for fractionally integrated ARMA processes; Haslett and Raftery 1989). The documentation suggests that one tries the following simple example: library(fracdiff) ts.test <- fracdiff.sim( 5000, ar = .2, ma = -.4, d = .3) fracdiff( ts.test$series, nar = length(ts.test$ar), nma = length(ts.test$ma)) When I run this, I get the following error: R

dear members, I am using arfima() from forecast package to model a time series. The following is the code: > LYGH[[202]] [1] 45.40 3.25 6.50 2.15 > arfima(LYGH[[202]]) Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma, hess = hess, fdf.work = fdf$w) : NA/NaN/Inf in foreign function call (arg 5) I tried viewing .fdcov() with the following code:

Hi I'm using fracdiff package to estimate the parameters of a fractionally-differenced ARIMA (p,d,q) model, and it works fine, but I wanted to have also the filtered series and the series of residuals. I understand these are calculated in the subroutine fdfilt, in the program fdcore.f, but I can't manage to get them out. Any suggestion would be much appreciated Thanks Susana Barbosa

>>>>> akshay kulkarni >>>>> on Wed, 31 May 2023 20:55:33 +0000 writes: > dear members, > I am using arfima() from forecast package to model a time > series. The following is the code: >> LYGH[[202]] > [1] 45.40 3.25 6.50 2.15 >> arfima(LYGH[[202]]) > Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma,

Does anybody know if it is possible to forcast or predict from a fracdiff object? Any help would be much obliged... Cheers, Alan

(My apologies if this is a repeated posting. I couldn't find any trace of my previous attempt in the archive.) I'm having trouble with forecast() in the dse2 package. It works fine for me on a model without a trend, but gives me NaN output for the forecast values when using a model with a trend. An example: # Set inputs and outputs for the ARMA model fit and test periods

Dear Martin, Sad that the bug is beyond your ken... Fortunately, the error happens only rarely...The length of LYGH was 719 and there were only two such errors..I will just replace them with NA and make do. By the by, what if I send LYGH as an attachment to your actual mail ( not the r-help mail)? Will it help? Can you then pinpoint the cause? Or should I raise a bug

I've just started digging into Andreas's old report: > a <- array(0,c(2,2,2)); > dimnames(a)<-list(hansi=1:2, pepi=c("a","b"), karli=3:4) > dimnames(a[,,1]) # losing component names [[1]] [1] "1" "2" [[2]] [1] "a" "b" Now, this would be fairly easily fixed (I think) which would also make it compatible with S3.

Dear list and Martin, I'm testing different approaches to fit an electricity demand time series and come upon the fracdiff package (v 1.3-1) for fitting fractional ARIMA models. The following questions are motivated by this package. 1. Despite having a help page, the residuals and fitted functions don't seem to have implementation, or did i miss something obvious? Alternatively, having a

Hello, I am getting the following error message from unitrootTest. Do you have any clue of what could be wrong. Details: AMD64 (x86_64) Gentoo Linux system. library(fSeries) kmodel <- list(ar=c(.3,0,0,0,0.7,-.4*.7),d=1) x=armaSim(nobs,model=kmodel) unitrootTest(x,trend="c",statistic="t",method="adf",lags=2) Error in file(file, "r") : unable to open

x<-c(-1.873....,-0.121) # 23 numerics; x.arma12 <- armaFit(x ~ arma(1,2)) #estimates y[t]= -0.11465 - 0.23767 y[t-1] - 0.14230 e[t-1] -0.85770 e[t-2] + e[t]; # ? how to predict 46 steps ahead based on 23 data points? # the following doesn't work since n is in armaSim rather than armaFit; predict(x.arima12, n.ahead=46) # Thanks ---------------------------------

I'd like to play with ARIMA models of stock prices, but I am a complete novice. Could some kind soul explain the relationship among packages "ts", "tseries", "dse", "dse2", and "fracdiff"? Are they 'competing' products or does one depend on another? Where would be the best place for a novice to begin? Thanks for any advice. PS. I