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c_timecorrelate.pro

This function computes the "time cross correlation" Pxy(L) or the "time cross covariance" between 2 arrays (this is some kind of c_correlate but for multidimenstionals arrays) as a function of the lag (L).

Routine summary

result = timecross_cov(Xd, Yd, M, nT, Ndim, Double=Double, ZERO2NAN=ZERO2NAN)
result = c_timecorrelate(X, Y, Lag, Covariance=Covariance, Double=Double)

 

timecross_cov Statistics

result = timecross_cov(Xd, Yd, M, nT, Ndim, Double=Double, ZERO2NAN=ZERO2NAN)

Parameters

Xd       

Yd       

M       

nT       

Ndim       

Keywords

Double       

If set to a non-zero value, computations are done in double precision arithmetic.

ZERO2NAN       

Examples

Version history

Version

$Id: c_timecorrelate.pro 163 2006-08-29 12:59:46Z navarro $

History

 


c_timecorrelate Statistics

result = c_timecorrelate(X, Y, Lag, Covariance=Covariance, Double=Double)

Parameters

X        in required type: array

An Array which last dimension is the time dimension of size n, float or double.

Y        in required type: array

An Array which last dimension is the time dimension of size n, float or double.

Lag        in required type: scalar or vector

A scalar or n-element vector, in the interval [-(n-2), (n-2)], of type integer that specifies the absolute distance(s) between indexed elements of X.

Keywords

Covariance       

If set to a non-zero value, the sample cross covariance is computed.

Double       

If set to a non-zero value, computations are done in double precision arithmetic.

Examples

Define two n-element sample populations. x = [3.73, 3.67, 3.77, 3.83, 4.67, 5.87, 6.70, 6.97, 6.40, 5.57] y = [2.31, 2.76, 3.02, 3.13, 3.72, 3.88, 3.97, 4.39, 4.34, 3.95] Compute the cross correlation of X and Y for LAG = -5, 0, 1, 5, 6, 7 lag = [-5, 0, 1, 5, 6, 7] result = c_timecorrelate(x, y, lag) The result should be: [-0.428246, 0.914755, 0.674547, -0.405140, -0.403100, -0.339685]

Version history

Version

$Id: c_timecorrelate.pro 163 2006-08-29 12:59:46Z navarro $

History

- 01/03/2000 Sebastien Masson (smasson@lodyc.jussieu.fr) Based on the C_CORRELATE procedure of IDL - August 2003 Sebastien Masson update according to the update made in C_CORRELATE by W. Biagiotti and available in IDL 5.5 INTRODUCTION TO STATISTICAL TIME SERIES Wayne A. Fuller ISBN 0-471-28715-6

 


  Produced by IDLdoc 2.0 on Wed Sep 13 16:32:56 2006.