similar to: true time series lags behind fitted values in arima model

Hi I would like to use arima () to find the best arima model for y time series. The default in arima apparently is to use conditional sum of squares to find the starting values and then ML (as described on the help page). Now using the default may lead to error messages saying: "non-stationary ar part in CSS". When changeing the default to "ML" only the minimization

Hi I posted this problem yesterday but didn't get a reply so I try again today. I hope someone can help me with this. thank you very much for the help cheers Benedikt I would like to use arima () to find the best arima model for a time series. The default in arima apparently is to use conditional sum of squares to find the starting values and then use ML for the

Hi, I'd like to unsubscribe from the list. Thanks Neyra ________________________________ De: "r-help-request@r-project.org" <r-help-request@r-project.org> Para: r-help@r-project.org Enviado: sáb, octubre 30, 2010 5:30:07 AM Asunto: R-help Digest, Vol 92, Issue 31 Send R-help mailing list submissions to r-help@r-project.org To subscribe or unsubscribe via the

hello, after several hours of use (~100 hours), clocks of my fcgi scripts starts to desync with system clock. IS it a bug in ruby/rails/fcgi or is there something like a memory leak which pushes clock earlier and earlier. is there a way to change clock within Ruby? Maybe I am manipulatiing time but am not aware of it by using that function. any ideas? thanks in advance

Hello RoR folks, I am using Instant Rails and a small app that currently uses scaffolding for CRUD on just one table with 7 attributes. I am not shure wether scaffolding slows down the app that much but I have a time lag for every request with above 4 sec. The preinstalled apps like Type are running damn fast, which is not the case for my stuff. Any help on this would be great Thanks, RTG --

Hi, In order to produce an autoregression where only certain lags are allowed, specified in advance (e.g. c(1,2,5) ), I have found it necessary to look beyond the standard [ar] function, thankfully discovering the [FitAR] package, wherein the [FitARp] function provided exactly that capability. However for my problem at hand, [FitARp] is vastly slower than [ar] - taking hours rather than minutes.

Has anyone writtent an R function for estimating linear models with polynomial distributed lags? Thanks, Barnet Wagman wagman at enteract.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not

Hi all, Anybody know what it means for a DomU to show up in the "xm list" as follows: Name ID Mem VCPUs State Time(s) Domain-0 0 256 2 r----- 43929.3 Clonezilla 16 512 1 ------ 6.2 The domU "Clonezilla" does not have an "r" state

Hi all, How can a multivariate Poisson time series be modeled? Aspects of glm, forecast, dse and dynlm seem relevant but not quite complete--but hopefully what I am missing is how to assemble them effectively. What I am looking to do is model my dependent variable y_t as a Poisson family function of lags of several independent variables and lags of y_t. I would like to include all lags up

pacf in devel seems by default to return a different number of lags than 1.7.1 for $pacf. I don't see any mention of this in the NEWS file, or any change in the documentation, so I suspect it is and error, though it may be an undocumented improvement. (Newbie question: How is the simplest way to display a function like pacf.default that is not exported from a namespace?) Paul

Hi! I am trying to get R to run regressions for me of a variable on lagged differences of itself. Specifically: x-x(-1) = a + b1(x(-1)-rx(-2))+b2(x(-4)-rx(-5))+e I need to do this a lot of times, altering the value of r. What I've been trying to do was to use the lag() command to create lagged versions of these variables and then constructing these differences by hand (i.e. creating

Hi all I want to calculate certain lags of a time series and plot them simultaneously on a graph. can anyone help?

Hi folks! How do I extract lags from a formula? An example: mod.eq<-formula(x~lag(x,-1)+lag(x,-2)) > mod.eq x ~ lag(x, -1) + lag(x, -2) > mod.eq[1] "~"() > mod.eq[2] x() > mod.eq[3] lag(x, -1) + lag(x, -2)() I'm trying to extract the lags into a vector that would be simply [1,2]. How do I do this? I'm using the dyn package to do dynamic

When I use the command for PACF, lags 5, 10, 15, and 20 are labeled. I would like to label lag 1. I would greatly appreciate if someone could tell me how to do this. Below is the command that I am using: pacf(data$R1,main="Series R1 Residuals") [[alternative HTML version deleted]]

Hello, I was wondering if there was an easy way to calculate the rate of change in a variable for an unbalanced panel data set. Below is a detailed description in R of what I am asking. Thank you. Geoff #Suppose I have the following unbalanced panel data; Person <- c(rep('Frank',5), rep('Tony',4), rep('Edward',4)); Year <-

Hi, Originally this was part of my highlighting question but now after debugging and slicing up the problem i found that the problem was not rjs but that saving to database does not sync with the ajax partial Controller code: ____________________________________________ def add_to_cart @sguser = Sguser.find(params[:ad]) @lineprice = SglineItem.find(:all, :conditions => "sguser_id =

Dear all, I wish use the "est.variogram" function under R. My question concerns the determination of number of lags. To make this calculation, i determined the biggest and the smallest distance between 2 pairs of points. I built the following tolerance : tol=mindistance/2 and i defined 1 lag as : 1lag=mindist+tol. Then i made a buckle the step of stop of which the maximal distance.

Hi, I'm struggling to understand the documentation. ?lag.zoo x - a "zoo" object. k, lag - the number of lags (in units of observations). Note the sign of k behaves as in lag. differences - an integer indicating the order of the difference. What does the above line actually mean? I've tried a few settings on sample data but can't figure out what it is doing. x <-

Hi, If I have the follow situation: A dependent variable (i.e. number of insects) that is affected by an independent variable (i.e. rain). The problem is that the measure of rain affect the population in other moment. So there exit a lag between the rain and the number of insects. Exist in R any tool to find what is this lag? Explain better. Suppose that I have a linear relationship

hi all how does one simulate a random walk process? i.e y(0)=0 y(t)=y(t-1)+ e(t) where e(t) is normal(0,1) say. Regards allan