Programmer Guide/Command Reference/EVAL/corrfun: Difference between revisions
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{{DISPLAYTITLE:{{SUBPAGENAME}}}} | {{DISPLAYTITLE:{{SUBPAGENAME}}}} | ||
Compute the autocorrelation or cross-correlation function. | Compute the autocorrelation or cross-correlation function. | ||
;Usage: | ;Usage: | ||
:{|class="keinrahmen" | :{|class="keinrahmen" |
Revision as of 14:27, 8 April 2011
Compute the autocorrelation or cross-correlation function.
- Usage
corrfun(xvector {, n {, scale}})
... autocorrelation of x corrfun(xvector, yvector {, n {, scale}})
... cross correlation of x and y
- x, y
- data vectors
- n
- the number of lags; 0 < n <
ncol(x)
(default=ncol(x)/2
) - scale
- specifies the scaling of the function:
scale=0 ... no scaling (default) scale=1 ... "biased", each lag i is scaled by the length of x ( 1/ncol(x)
)scale=2 ... "unbiased", each lag i is scaled by the number of correlated elements ( 1/(ncol(x)-1)
)
- Result
- The autocorrelation of the data vector x or the cross correlation function of the two vector x and y. The result is a scalar (if n=1) or a vector with n elements.
- See also
- corr