Joris Meys wrote:
Check http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf for some
ideas on testing time series in R. I'd go with the acf() and pacf() on the
residuals of the arima model. If arima works, both plots will indicate
absence of autocorrelation.
also check ?tsdiag
And if y
I reckon you misunderstand the function arima. If you're interested in the
significance of any regressor, you should use the proper fitting tools.
Check all the code examples from the book I recommended before on :
http://www.stat.pitt.edu/stoffer/tsa2/index.html
There's a nice tutorial that exp
Check http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf for some
ideas on testing time series in R. I'd go with the acf() and pacf() on the
residuals of the arima model. If arima works, both plots will indicate
absence of autocorrelation.
also check ?tsdiag
And if you're really going t
Hi,
I want to give a summary or anova for "arima" model in R, as
"summary", and "anova" for "lm".
As including various intervention factors in arima(xreg = ) part, I
want to assess the significancy of thse factors.
I can do it using interrupted analysis of time series by linear
regression, but w
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