--- On Mon, 1/17/11, Raymond Wong <[email protected]> wrote:
From: Raymond Wong <[email protected]> Subject: Re: [R] help in calculating ar on ranked vector To: "Uwe Ligges" <[email protected]> Received: Monday, January 17, 2011, 11:56 AM Thanks Uwe: Here is my code. the first set of print statements work, but not the second. # z<-as.vector(na.omit(z)) #remove na nz<-length(z) rz<-rank(z,ties.method="average") # print(ar(z, order.max=1, method="burg")) print(ar(z, order.max=1, method="ols")) print(ar(z, order.max=1, method="mle")) print(ar(z, order.max=1, method="yule-walker")) # # ************************************************************** # print(ar(rz, order.max=1, method="burg")) print(ar(rz, order.max=1, method="ols")) print(ar(rz, order.max=1, method="mle")) print(ar(rz, order.max=1, method="yule-walker")) # What did I miss? Thanks a million. Raymond --- On Fri, 1/14/11, Uwe Ligges <[email protected]> wrote: From: Uwe Ligges <[email protected]> Subject: Re: [R] help in calculating ar on ranked vector To: "Raymond Wong" <[email protected]> Cc: [email protected] Received: Friday, January 14, 2011, 12:42 PM Works for my examples. But you have not specified what you actual call to ar() was. Uwe Ligges On 12.01.2011 21:17, Raymond Wong wrote: > I was using ar(stats) to calculate autoregressive coefficient. It works on > vector z, but it will not work on vector rz<-rank (z, > ties.method="average"). What did I miss? > Any info will be greatly appreciated. TIA > > > [[alternative HTML version deleted]] > > > > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]]
______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
