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P_CORRELATE


Syntax | Return Value | Arguments | Keywords | Examples | Version History | See Also

The P_CORRELATE function computes the partial correlation coefficient of a dependent variable and one particular independent variable when the effects of all other variables involved are removed.

To compute the partial correlation, the following method is used:

This routine is written in the IDL language. Its source code can be found in the file p_correlate.pro in the lib subdirectory of the IDL distribution.

Syntax

Result = P_CORRELATE( X, Y, C [, /DOUBLE] )

Return Value

Returns the correlation coefficient.

Arguments

X

An n-element integer, single-, or double-precision floating-point vector that specifies the independent variable data.

Y

An n-element integer, single-, or double-precision floating-point vector that specifies the dependent variable data.

C

An integer, single-, or double-precision floating-point array that specifies the independent variable data whose effects are to be removed. C may either be an n-element vector containing the independent variable, or a p-by-n two-dimensional array in which each column corresponds to a separate independent variable.

Keywords

DOUBLE

Set this keyword to force the computation to be done in double-precision arithmetic.

Examples

; Define three sample populations: 
X0 = [64, 71, 53, 67, 55, 58, 77, 57, 56, 51, 76, 68] 
X1 = [57, 59, 49, 62, 51, 50, 55, 48, 52, 42, 61, 57] 
X2 = [ 8, 10, 6, 11, 8, 7, 10, 9, 10, 6, 12, 9] 
 
; Compute the partial correlation of X0 and X1 with the effects 
; of X2 removed. 
result = P_CORRELATE(X0, X1, X2) 
 
PRINT, result 

IDL prints:

0.533469 

Version History

Introduced: 4.0

See Also

A_CORRELATE, C_CORRELATE, CORRELATE, M_CORRELATE, R_CORRELATE


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