Hello world,
I am actually trying to transfer a lecture from Statistica to
R and I ran into problems with spectral analysis, I think I
just don't get it 8-(
(The posting from "FFT, frequs, magnitudes, phases" from 2005
did not enlighten me)
As a starter for the students I have a 10year data set o
"Georg Hoermann" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> The data set:
>
> air = read.csv("http://www.hydrology.uni-kiel.de/~schorsch/air_temp.csv";)
> airtemp = ts(T_air, start=c(1989,1), freq = 365)
> plot(airtemp)
Maybe this will get you started using fft or spectrum -- I
Earl F. Glynn wrote:
> "Georg Hoermann" <[EMAIL PROTECTED]> wrote in message
> news:[EMAIL PROTECTED]
>
>> The data set:
>>
>> air = read.csv("http://www.hydrology.uni-kiel.de/~schorsch/air_temp.csv";)
>> airtemp = ts(T_air, start=c(1989,1), freq = 365)
>> plot(airtemp)
>>
>
> Maybe this w
Peter Dalgaard wrote:
> Earl F. Glynn wrote:
>>
> The defaults for detrending and tapering could be involved. Putting,
> e.g., detrend=F gives me a spectrum with substantially higher
> low-frequency components.
>
> But what was the problem in the first place?
>
understanding how this things
HTH
Petr
On 8 Jan 2007 at 17:12, Georg Hoermann wrote:
Date sent: Mon, 08 Jan 2007 17:12:34 +0100
From: Georg Hoermann <[EMAIL PROTECTED]>
To: r-help@stat.math.ethz.ch
Subject: [R] Simple spectral analysis
> Hello world,
"Georg Hoermann" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> Peter Dalgaard wrote:
>> Earl F. Glynn wrote:
> Thanks a lot for the help. I will post the script when its ready
> (an introduction for our biology students to time series, just 8 hours)
I've been working with one of
