Dieter Menne wrote:
>
> Peterko gmail.com> writes:
>
>> Original serie have 225 observing, but program use only 224.
>> the most domain frequencies are f1=1/224 f2=1/122 f3=1/74,66 f4=1/56
>> f5=1/24,88
>> When i know these frequencies a can do, new variable ,nubmers of variavle
>> is
>> 2*nu
Peterko gmail.com> writes:
> Original serie have 225 observing, but program use only 224.
> the most domain frequencies are f1=1/224 f2=1/122 f3=1/74,66 f4=1/56
> f5=1/24,88
> When i know these frequencies a can do, new variable ,nubmers of variavle is
> 2*nubmer of frequencies:
> t<-1:225
> c1<-
Hi, i have result from other program.
Original serie have 225 observing, but program use only 224.
the most domain frequencies are f1=1/224 f2=1/122 f3=1/74,66 f4=1/56
f5=1/24,88
When i know these frequencies a can do, new variable ,nubmers of variavle is
2*nubmer of frequencies:
t<-1:225
c1<-cos(
Peterko gmail.com> writes:
> Hello, i need to find in time serie, k=1,2,3...(how if possible) most domain
> frequencies and than smooth original serie by Fourier row y=mean +
> a1*Cos(2*pi/freq*t)+b1*Sin(2*pi/freq*t)+a2..
>
> numbers a1,b1 ... i will have from simple regresion, i need only
Hello, i need to find in time serie, k=1,2,3...(how if possible) most domain
frequencies and than smooth original serie by Fourier row y=mean +
a1*Cos(2*pi/freq*t)+b1*Sin(2*pi/freq*t)+a2..
numbers a1,b1 ... i will have from simple regresion, i need only to find k
msot domain frequensies a th
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