StatCovariance (Function)

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Number of elements found in the matrix
Managing the errors

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StatCovariance (Function)

In french: StatCovariance

Calculates the covariance between two series of values.

Remark: The covariance corresponds to the mean of the product of deviations for each series.

Versions 25 and later

This function is now available in browser code.

New in version 25

This function is now available in browser code.

Example

See additional examples

// Calculate the covariance between row 1 and row 2 of a matrix
ResCovariance = StatCovariance("MyMatrix", 1, 2, False)

Syntax

<Result> = StatCovariance(<Matrix> [, <1st row/1st column> [, <2nd row/2nd column> [, <Row/Column>]]])

<Result>: Real

Covariance between the two series,
0 if the covariance is null.

<Matrix>: Character string (with quotes)

Name of the matrix containing the data, defined by MatCreate.

<1st row/1st column>: Optional integer

1st row or 1st column containing the data (1 by default).

<2nd row/2nd column>: Optional integer

2nd row or 2nd column containing the data (2 by default).

<Row/Column>: Optional boolean

True (by default) if the series of values correspond to matrix columns,
False if the series of values correspond to matrix rows.

Remarks

Number of elements found in the matrix

The number of elements found in the matrix is taken as reference. This number of elements corresponds to:

the number of matrix rows, returned by MatNbLine.
the number of matrix columns, returned by MatNbColumn.

If the series contain less elements than the matrix, the missing values are automatically filled with 0. These values are taken into account during the calculations.

Managing the errors

Caution: StatCovariance returns no error code. To find out whether errors have been generated when calculating the covariance, use StatError. To find out the error details, use ErrorInfo associated with the errMessage constant.

Related Examples:

Unit examples (WINDEV): The Stat functions

[ + ] Using the main functions for statistical calculations (using matrices):
- Calculate a sum of values
- Calculate a mean of values
- Find the minimum value in a set of values
- Find the maximum value in a set of values

Business / UI classification : Neutral code

Component : wd250mat.dll