STATISTICS


Function

Statistics contains procedures for calculating correlation functions from time series data. At present this is done with a direct method similar to that described in the book by Allen and Tildesley.

Dependencies

Module Variables
DEFINITIONS DP


Public Variables

None.

Public Procedures

There are two public subroutines in this module.

SubroutinePurpose
STATISTICS_ACF_DIRECT Calculate an autocorrelation function.
STATISTICS_CCF_DIRECT Calculate a cross correlation function.


STATISTICS_ACF_DIRECT

Argument Type Intent Optional Purpose
X Real(:) In No The time series data.
ACF Real(0:) Out No The autocorrelation function.
NORMALIZED Logical In Yes A normalization flag.




STATISTICS_CCF_DIRECT

Argument Type Intent Optional Purpose
X Real(:) In No The time series data for the first property.
Y Real(:) In No The time series data for the second property.
CCF Real(0:) Out No The cross correlation function.
NORMALIZED Logical In Yes A normalization flag.




Stability

Stable.



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