Functions
double	doublevector_correlation (DOUBLEVECTOR , DOUBLEVECTOR , double, double, long, double)

float	floatvector_correlation (FLOATVECTOR , FLOATVECTOR u, float, float, long, float)

float	longvector_correlation (LONGVECTOR , LONGVECTOR , float, float, long, long)

float	longmatrix_n_moment (LONGMATRIX *, double, double, long)

double	doublematrix_n_moment (DOUBLEMATRIX *, double, double, double)

float	floatmatrix_n_moment (FLOATMATRIX *, float, float, float)

double	doublevector_n_moment (DOUBLEVECTOR *, float, float, double)

float	floatvector_n_moment (FLOATVECTOR *, float, float, float)

float	longvector_n_moment (LONGVECTOR *, float, float, long)

float	floatmatrix_moment (FLOATMATRIX *, float, float, float)

float	floatmatrix_restricted_n_moment (FLOATMATRIX , FLOATMATRIX , float, float, float, float)

double	double_n_moment (double *m, long nh, double mean, double NN, double novalue)

Function Documentation

double double_n_moment	(	double *	m,
		long	nh,
		double	mean,
		double	NN,
		double	novalue
	)

Definition at line 526 of file statistics.c.

References t_error().

double doublematrix_n_moment	(	DOUBLEMATRIX *	,
		double	,
		double	,
		double
	)

Definition at line 236 of file statistics.c.

References DOUBLEMATRIX::co, DOUBLEMATRIX::isdynamic, DOUBLEMATRIX::nch, DOUBLEMATRIX::nrh, and t_error().

double doublevector_correlation	(	DOUBLEVECTOR *	,
		DOUBLEVECTOR *	,
		double	,
		double	,
		long	,
		double
	)

Name: doublevector_correlation, floatvector_correlation, longvector_correlation

Synopsis: double doublevector_correlation(DOUBLEVECTOR *,DOUBLEVECTOR *,double ,double ,long ,double ); float floatvector_correlation(FLOATVECTOR *,FLOATVECTOR *u,float ,float ,long ,float ); float longvector_correlation(LONGVECTOR *,LONGVECTOR *,float,float ,long ,long);

Description: It calculates the biased corretion between two vectors of the specified type.

Inputs: 1) the first vector; 2) the second vector; 3) the first vector mean; 4) the second vector mean; 5) the lag at which the correlation is calculated; 6) the value that identify "NO DATA"

Return: biased correlation (the division factor is the length of the vector minus the number of missing data)

FILE: LIBRARIES/BASICMATHSTAT/statistics.c, LIBRARIES/BASICMATHSTAT/t_statistics.h

Examples: hystogram.c

Authors & Date: Paolo D'Odorico, Riccardo Rigon, February 1998.

References: Probability, Statistics, and Reliability for Civil and Environmental Engineers

Definition at line 490 of file statistics.c.

References DOUBLEVECTOR::co, DOUBLEVECTOR::isdynamic, DOUBLEVECTOR::nh, and t_error().

double doublevector_n_moment	(	DOUBLEVECTOR *	,
		float	,
		float	,
		double
	)

Definition at line 117 of file statistics.c.

References DOUBLEVECTOR::co, DOUBLEVECTOR::isdynamic, DOUBLEVECTOR::nh, and t_error().

float floatmatrix_moment	(	FLOATMATRIX *	,
		float	,
		float	,
		float
	)

float floatmatrix_n_moment	(	FLOATMATRIX *	,
		float	,
		float	,
		float
	)

Definition at line 174 of file statistics.c.

References FLOATMATRIX::co, FLOATMATRIX::isdynamic, FLOATMATRIX::nch, FLOATMATRIX::nrh, and t_error().

float floatmatrix_restricted_n_moment	(	FLOATMATRIX *	,
		FLOATMATRIX *	,
		float	,
		float	,
		float	,
		float
	)

Name:floatmatrix_restricted _n_moment

Synopsis: float floatmatrix_n_moment(FLOATMATRIX *first,FLOATMATRIX *second, float ,float , float,float );

Description: It calculates the biased n moment of a vector or a matrix of the specified type as floatmatrix_n_moment but it uses the subset of points that are not novalue2 in a second nmatrix

Inputs: 1) the first matrix; 2) The second matrix; 3) the first matrix mean; 4) the second matrix mean; 5) the value that identify "NO DATA" or "MISSING DATA" in the first matrix (a sequence of mesasured data usually contains points where the data were not detected or monitored); 6) the vector that identify "NO DATA" in the second matrix

Return: biased n moment (the division factor is the length of the vector minus the number of missing data)

Authors & date: Paolo D'Odorico, Riccardo Rigon, February 1998.

FILE: LIBRARIES/BASICMATHSTAT/statistics.c, LIBRARIES/BASICMATHSTAT/t_statistics.h

Examples: LIBRARIES/APPLICATIONS/GEOMORPHOLOGY/RIVER_NETWORKS/sum_downstream.c

Definition at line 357 of file statistics.c.

References FLOATMATRIX::co, FLOATMATRIX::isdynamic, FLOATMATRIX::nch, FLOATMATRIX::nrh, and t_error().

float floatvector_correlation	(	FLOATVECTOR *	,
		FLOATVECTOR *	u,
		float	,
		float	,
		long	,
		float
	)

Definition at line 456 of file statistics.c.

References FLOATVECTOR::co, FLOATVECTOR::isdynamic, FLOATVECTOR::nh, and t_error().

float floatvector_n_moment	(	FLOATVECTOR *	,
		float	,
		float	,
		float
	)

Definition at line 61 of file statistics.c.

References FLOATVECTOR::co, FLOATVECTOR::isdynamic, FLOATVECTOR::nh, and t_error().

float longmatrix_n_moment	(	LONGMATRIX *	,
		double	,
		double	,
		long
	)

Name: _n_moment

Synopsis: float longmatrix_n_moment(LONGMATRIX *, double ,double , long ); double doublematrix_n_moment(DOUBLEMATRIX *, double ,double , double ); float floatmatrix_n_moment(FLOATMATRIX *, float ,float , float ); double doublevector_n_moment(DOUBLEVECTOR *, float ,float , double ); float floatvector_n_moment(FLOATVECTOR *, float ,float , float ); float longvector_n_moment(LONGVECTOR *, float ,float , long );

Description: It calculates the biased n moment of a vector or a matrix of the specified type

Inputs: 1) the first vector; 2) the second vector; 3) the first vector mean; 4) the second vector mean; 5) the value that identify "NO DATA" or "MISSING DATA" (a sequence of mesasured data usually contains points where the data were not detected or monitored)

Return: biased n moment (the division factor is the length of the vector minus the number of missing data)

Examples: LIBRARIES/APPLICATIONS/DATA_MANIPULATION/hystogram.c

float longvector_correlation	(	LONGVECTOR *	,
		LONGVECTOR *	,
		float	,
		float	,
		long	,
		long
	)

Functions

Function Documentation