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...ome data I have, however each time I use that instruction with the same data my cluster means, clustering vector and within cluster sum of square change and I don't understand why because I use the same parameters and the same data. Can anybody explain me why does it happen? Thank you Act. Calef Alejandro Rodr?guez Cuevas Analista de mercado Laboratorios Farmasa S.A. de C.V. Schwabe Mexico, S.A. de C.V. Bufalo Nr. 27 Col. del Valle 03100 Mexico, D.F. Mexico Tel. 52 00 26 80 email: rodrigueza at schwabe.com.mx www.schwabe.com.mx www.umckaloabo.com.mx

Hi, I'm using package "vars" and I'm trying to extract the algorithm that function "predict" contained in that package in order to understand how does it work. When I type function "VAR" then all its algorithm appears in R, however if I try to do the same with "predict" nothing happens...Is there any possible way to extract the algorithm? Thanks a

...I I .2 +--------+--------+--------+--------+ Column 153 116 104 107 480 Total 31.9 24.2 21.7 22.3 100.0 Percents and totals based on respondents 480 valid cases; 0 missing cases Act. Calef Alejandro Rodr?guez Cuevas Analista de mercado Laboratorios Farmasa S.A. de C.V. Schwabe Mexico, S.A. de C.V. Bufalo Nr. 27 Col. del Valle 03100 Mexico, D.F. Mexico Tel. 52 00 26 80 email: rodrigueza at schwabe.com.mx www.schwabe.com.mx www.umckaloabo.com.mx

Hello dudes. I'm developing VAR analysis based on suggestions made by Horváth in its paper Canonical Correlation Analysis and Wiener-Granger Causality Tests. That's the reason I'm looking for if there's any R package to develop Wiener - Granger Causality Test. Thanks a lot for your unvaluable help. Regards from Mexico [[alternative HTML version deleted]]

Hello friends. I'm wondering what happened to package uroot. I worked quite well with older versions of R, however with 2.12.1 version it simply doesn't work. The worst thing is that I look for it in the contributed packages and it simply doesn't appear. I want to develop ADF test with seasonal (centered) dummies, is there any other possible package that contains this test? Thanks

Hi everybody. I'm using BFAST program and I have some data to be analized (named "META.csv" for example). When I call BFAST in the following way: meta <- read.csv("C:/META.csv") meta.ts<-ts(meta, frequency=12, start = c(2005,9)) dis<-frequency(meta.ts) / length(meta.ts) meta.sc<-bfast(meta.ts, h=dis, max.iter=1) meta.sc$output The last statement has the

Hi everybody. I was wondering if there's any package available that can handle Mixed Data Sampling Regression Models. Thanks a lot for your help. [[alternative HTML version deleted]]

Hi everybody. I use to work with monthly data, however this is my first time working with weekly data. I have 4 data bases with monthly data and 1 with weekly data, so I want to convert my weekly to monthly data in order to have the same periodicity in all of them. I've read that package xts can help me with this issue, so I have done the following script:

Hi everyone. I'm having some troubles with STL function to decompose some data. My issue is that I have monthly data from September 2005 up to August 2010 i. e. 60 observations. I define it in the following way: *u<-read.csv("C:/CELEBREX.csv",header = TRUE) u.ts<-ts(u, start=c(2005,9), frequency=12) * The issue is that when I try to use stl(u.ts, 'per') Then the