similar to: finding model order components for arima()

I am using AUTO ARIMA for forecasting. But it is not detecting 'seasonality term' of its own for any data. Is there any other method by which we can detect seasonality and its frequency for any data? Is there any method through which seasonality and its frequency can be automatically detected from ACF plot? -- Siddharth Arun, 4th Year Undergraduate student Industrial Engineering and

Hi, i want to construct a data set similar to "AirPassengers". Its attributes are following. > attributes(AirPassengers) $tsp [1] 1949.000 1960.917 12.000 $class [1] "ts" How Can I construct a data set similar to it having same class and attributes. Thanks -- Amar Kumar Nandan ?:nandan.amar at gmail.com http://aknandan.co.nr

Dear All, I tried following for getting derivative of a polynomial in R i<- -10:10 x<-i*i*i+3*i*i+2 fun_spline<-splinefun(i,x) plot(x,type="l") lines(x,fx_spline(x, deriv=1), col='green') lines(x,fx_spline(x, deriv=2), col='green') Now when I plot 3*i*i + 6*i and 6*i + 6 the plot was not same for first deivative. where as the 2nd derivative was same Is this a

I want to sort my following data set according to value in 4th column 0 1 0 27877.3044386212 15.8733019973557 2640.42407064348 0 1 1 27470.1699006254 35.4182473588807 2303.26461260826 0 1 2 27468.0314985496 38.4400363878507 2300.05521684593 0 1 3 27469.1130543141 40.7540672493746 2299.32564458085 0 1 4 27442.3152643187 52.4342875797706 2277.18286686329 0 1 5 27440.7923082136

hi, i am trying to teach myself about ARIMA models. i have followed examples from a number of sources and have more or less got the hang of how it works. i would like to compare the output from the fitted model to the original data. is this possible? or even a meaningful thing to do? to be clear, for example, having generated a fit to some data using > fit <- arima(LakeHuron, order = c(1,

I am trying to use function garsim from package gsarima. I can download gsarima package from http://cran.fyxm.net/web/packages/gsarima/index.html for linux. But how I can add it to R. I have compiled and installed R from its R source code under Ubuntu. regards. -- Amar Kumar Nandan Karnataka ,India , 560100 http://aknandan.co.nr [[alternative HTML version deleted]]

Thanks people! another question, is there something similar to sort for dates? sort(x, decreasing = FALSE, ...) On Tue, Dec 13, 2011 at 8:34 AM, Jorge I Velez <jorgeivanvelez at gmail.com> wrote: > Hi Ana, > > Check section 4 of?http://www.jstatsoft.org/v40/i03/paper for more > alternatives. > > HTH, > Jorge.- > > > On Mon, Dec 12, 2011 at 9:39 PM, Ana

Dear all, The new version of AdMit (version 1.01-01) is now available from CRAN. SUMMARY The package provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings

Dear all, The new version of AdMit (version 1.01-01) is now available from CRAN. SUMMARY The package provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings

Hello list, I'm following the paper (http://www.jstatsoft.org/v27/i02/paper) on how to use "plm" to run panel regressions, and am having trouble with what I believe should be something very basic. When I run the command (p.9 in the paper): R> dynformula(emp~wage+capital,log=list(capital=FALSE,TRUE),lag=list(emp=2,c(2,3)),diff=list(FALSE,capital=TRUE)) I see: emp ~ wage +

Hello, I am having two data set original and predicted. I want to dind QQ-plot fot it. I tried in following manner : >qq(original~predicted) and error was : Error in qq.formula(o ~ p) : y must have exactly 2 levels There is an option "qtype" which dosent make any difference. What is the correct way for plotting QQ-plot or am I missing something. -- Amar Kumar Nandan

Hi, I've been following the list for a few months but this just my first post to the list. I've just started to use compiz again a few days ago and I have a few things (probably bugs) here that bugged me a little bit. I am not sure whether the bugs is in compiz or somewhere else so it would be nice if someone could confirm them. Here they are: - on default window decoration the maximize

Hi Saurav! On Sun, Jul 12, 2009 at 6:06 PM, Pathak, Saurav<s.pathak08 at imperial.ac.uk> wrote: > I am new to R, I have to do a 2 step Heckman model, my selection equation is > below which I was successful in running but I am unable to proceed further, > > > > I have so far used the following command > > glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc +

Hi all, I have a local server insalled on my system and have to start that from within my R function. here is how I start it: cmd<-"sh start-server.sh" system(cmd, wait=FALSE) My function has to start the server and proceed with further steps. The server starts but the further steps of the program are not executed.The cursor keeps waiting after the server is started. i tried

Dear all, do you know any easy way based on a vector input how to plot easily cdf and pdf. I would like to thank you in advance for your help Regards Alex

Hi, I?m using the R package stats for some analysis, I would like to know if there is any special reference paper to cite this package or just the R paper itself. Thank you very much for your answer, Iriel Joerin [[alternative HTML version deleted]]

Hi, I'm having a problem using sample() within a function. Basically I get an error reading: Error in sample(v, 1, prob = h) : non-positive probability Can anyone advise me as to the possible origin of this error? Here is my code #Discretised Gillespie algorithm function (From SMfSB, D.J. Wilkinson) gillespied=function (N, T=100, dt=1, ...) { tt=0 n=T%/%dt x=N$M

Version 1.0-0 of the package "AER" for "Applied Econometrics with R" has been released to CRAN (http://CRAN.R-project.org/package=AER) a few weeks ago. It accompanies Applied Econometrics with R Christian Kleiber, Achim Zeileis http://www.springer.com/978-0-387-77316-2 http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169/ from Springer's useR!

Version 1.0-0 of the package "AER" for "Applied Econometrics with R" has been released to CRAN (http://CRAN.R-project.org/package=AER) a few weeks ago. It accompanies Applied Econometrics with R Christian Kleiber, Achim Zeileis http://www.springer.com/978-0-387-77316-2 http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169/ from Springer's useR!

Dear R users, An updated version of the np package has recently been uploaded to CRAN (version 0.20-0). Version 0.20-0 is documented in Tristen Hayfield and Jeffrey S. Racine (2008). Nonparametric Econometrics: The np Package. Journal of Statistical Software 27(5). URL http://www.jstatsoft.org/v27/i05/ and also in a vignette (vignette("np",package="np")). There is also a FAQ