Re: [R] Tidal Time Series Analysis in R

From: Spencer Graves <>
Date: Thu 08 Dec 2005 - 13:53:08 EST

          I haven't seen any replies, so I will offer a few thoughts:

          If this were my problem, I'd start using "lm" with terms that predict the tide in terms of the positions of the sun and moon. If other things were thought to be important, I'd include them also in the "lm" model. However, I would not believe the answer from "lm" until the autocorrelation function (acf) of the residuals was plausibly white noise. If for some reason I couldn't get there, I'd use "arima" with its "xreg" argument to describe the plausible deterministic effects plus some ARMA model identified in the residuals. For documentation, I suggest you start with Venables and Ripley (2002) Modern Applied Statistics with S, 4th ed. (Springer), especially ch. 14. There may be better books on R available today, but among the books I've used, this is the premier general reference on R, and ch. 14 on time series should help you get started. I'm not familiar with "hoa" and "Rwave". They may ultimately be the best tools for your need, but I don't know that. If it were my project, I would likely try "lm" and "arima" as discussed in Venables and Ripley first. Then I'd look at "hoa", "Rwave" and anything else that might look promising.

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	  hope this helps.
	  spencer graves	

William H. Asquith wrote:

> I am looking at using R to analyze time series data containing a tidal
> component. I need to remove the tidal signal to extract the time
> series of the phenomena I seek to study. A browse of R-project search
> engines has not been too fruitful? I've found 'hoa' and 'Rwave', but
> need further help getting started. THANKS.
> -wa
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Spencer Graves, PhD
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Received on Thu Dec 08 14:07:06 2005

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