similar to: ARMA.predict?

Hello, I am trying to use 'R' for K-means simulatio, could you please advise me how I can read my data into a two dimesional array? Or is there any method which directly reads the excell file? Please let me know asap. Regards Skanda Kallur Cogito, Ergo Sum! Rene Descartes

Hi, I would like to know if someone knows an extended implementation of k-means in R to find appropriate number of clusters for a given k-dimensional data. Also, I am working on clustering for forecasting, if someone is interested or has knowledge on implementational details please mail me, I would appreciate it. Regards Skanda Kallur "Cogito, ergo sum" (I think, therefore I

Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote: mkdir fBasics unzip fBasics.zip -d fBasics rm fBasics/src/*.o R CMD check fBasics and that took me about 3 minutes. Now me, I just did unzip -a fBasics_190.10051.zip R CMD INSTALL fBasics rm -rf fBasics in a naive and trusting manner. It took me considerably longer than 3 minutes to learn that this was what I should do, and

Hello, I am having some problems with fitting an ARMA model to my time series data (randomly generated numbers). The thing is I have tried many packages [tseries, fseries, FitARMA etc.] and all of them giving very different results. I would appreciate if someone could post here what the best package is for my purpose. Also, after having done the fitting, I would like to check for the model's

Dear R People: I'm trying to use the garchFit function from the library(fSeries) However, R freezes every time that I use it. Is anyone else having this problem, please? Thanks in advance! R Version 2.2.1 Windows. Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: hodgess at gator.uhd.edu

R-guRus , ARMA function in tseries, seems to be calculating the AR coeff 's as coef <- lm(xx[,1]~xx[,lag$ar+1])$coef [*snipped* from around line 77,] I'd like to modify this model with another term somewhat in these lines lm(xx[,1] ~xx[,lag$ar+1]+mvgsignal)$coef where mvgsignal is a moving average signal based on some indicators, the question is could i simply hack into

Hello again! Is there a way to include a mean in the garch function in the library(tseries), please? I tried include.mean=T in the function statement but it didn't work thanks in advance! R Version 2.2.1 Windows Sincerely, Erin mailto: hodgess at gator.uhd.edu

I'm trying to use garchFit from fSeries, with Student or Skewed Student conditionnal distribution. Let's say that eps (vector) is my series of daily log-returns: data(EuStockMarkets) eps = diff(log(EuStockMarkets[,"CAC"])) library(fSeries) g = garchFit(series = eps, formula.var = ~garch(2,2), cond.dist = "dstd") s = g at fit$series All the coefficients are ok

Dear R-helpers, I have just loaded the fSeries package and I wanted to run the example provided in the documentation of garchOxFit but I got the following: > library(fSeries) > ?garchOxFit > library(datasets) > ?garchOxFit > ## Not run: > ## garchOxFit - > # Load Benchmark Data Set: > data(dem2gbp) > x = dem2gbp[, 1] >

hello R experts, my question is regarding arma modelling and specification. in another older, statistics package , after determining stationarity, i would try to work out the number of ar and ma lags using an lm test. to do this i would 1. regress my dependant variable on an intercept term then 2. use LM test for serial correlation, and finally 3. use the p value of the ols residuals to get

fSeries Technical Analysis rsiTA problem Hello, I?m trying to use the rsiTA() function but keep getting this error: >rsiTA(tsx,14) Error in "[.timeSeries"(close, 1:(length(close) - 1)) : only 0's may be mixed with negative subscripts Here?s is the first three lines of my data: >tsx[1:3,] close 2004-04-18 20:00:00 8702.82 2004-04-19

Hello, I am trying to switch to R from S-PLUS 6.1, and one problem I am having is using R for manipulation of calendar-based time-series. In S-PLUS, I commonly use the functions timeSequence(), timeDate(), and timeSeries() to align/average/aggregate data; and I also do a lot of plotting of time-series data (with calendar-based labels on the x-axis). I was wondering if anyone is familiar with

(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

I'd like to fit an ARMA(1,1) model to some data (Federal Reserve Bank interest rates) that looks like: ... 30JUN2006, 5.05 03JUL2006, 5.25 04JUL2006, N &lt;---- here! 05JUL2006, 5.25 ... One problem is that holidays have that "N" for their data. As a test, I tried fitting ARMA(1,1) with and without the holidays deleted. In other words, I fit the above data

Hello,Could somebody tell me what is the difference between  theese 3 calls of functionsarma(x,order=c(1,0)), arima(x,order=c(1,0,0)) ar(x,order=1)?I expected same residuals of theese three models,but unexpectably for the first two R requiredinitial value of something (what?)...Thanks in advance!  [[alternative HTML version deleted]]

I have a problem wirh R: After loding fBasics packages log funtion doesn't work like as fallow: Cenap ERDEMIR Hacettepe University Turkey > log(20) [1] 2.995732 > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fImport Loading required package: fSeries Loading required package: robustbase

In the summary of the output of arma, there's a number Pr(>|t|), however, I don't know what is its meaning - at least, it doesn't _seem_ to be a Student's t distribution. Reproducible test case: x <- c(0.5, sin(1:9)) reg <- arma(x, c(1,0)) summary(reg) <output> Call: arma(x = x, order = c(1, 0)) Model: ARMA(1,0) Residuals: Min 1Q Median 3Q

Dear all R user, Please forgive me if my problem is too simple. Actually my problem is basically Statistical rather directly R related. Suppose I have return series ret with mean zero. And I want to fit a Garch(1,1) on this. my is r[t] = h[i]*z[t] h[t] = w + alpha*r[t-1]^2 + beta*h[t-1] I want to estimate the three parameters here; the R syntax is as follows: #

Hi, I want to fit a regression model with one independent variable. The error part should be fitted an ARMA process. For example, y_t = a + b*x_t + e_t where e_t is modelled as an ARMA process. Please let me know how do I do this in R. What code should I use? TIA Aditya [[alternative HTML version deleted]]

Hello, The "arma" function in the "tseries" package allows estimation of models with specific "ar" and "ma" lags with its "lag" argument. For example: y[t] = a[0] + a[1]y[t-3] +b[1]e[t-2] + e[t] can be estimated with the following specification : arma(y, lag=list(ar=3,ma=2)). Is this possible with the "arima" function in the