Leonard Mada wrote:
I entered in column B(1): "=A1 + 1", that is I added the value "1" for
every element in column A. That said, data values in columns A and B
should be totally correlated. The NIST accepts a value of -0.999, but:
They don't "accept" a value of -0.999 instead of 1, they just calculated
something different (autocorrelation).
- Calc gives only a value of -0.882.
- R gives an absolute precise value of +1 (it reports positive values )
both with the cor(x,y) function and with the cor.test(x, y) function
Not even the slightest deviation from this value. This should be
definitely improved in Calc.
NOTE: sorting the values in Calc, breaks CORREL() [it gives an #VALUE
error, NO idea why]. Well, if I pair the non-ordered data in A with an
ordered (A+1), I see a very strange result: CORREL() gives -1.01, BUT
this coefficient CAN BE only between -1 and +1!!! SOME SERIOUS ERROR.
I will try to make more tests during the weekend.
I'm not sure what you're trying to achieve here. A single look at the
source would show you how CORREL is implemented using sums and square
sums, which limits the values for which it works. There's no need for
more example guesswork.
Niklas
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