polyfit semilogy
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Hi,
I'm trying to find the fractal dimension of a range of data, but I'm sruggling looking for a way of finding the best range of data in a bigget set of data, which will fit the best regression line in semilog.
do i have to try every possibilitie,
A=polyfit(X(1:1000),log10(Y(1:1000),1);
A=polyfit(X(2:1000),log10(Y(2:1000),1);
...
A=polyfit(X(i:j),log10(Y(i:j)),1);
and so on.. or is there easiest way?
Thank you for your help
n.
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bym
le 21 Avr 2011
do you mean stepwise regression?
doc stepwise() % assuming you have statistics toolbox
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