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brede_mat_partcorrcoef_test
(export/brede/brede_mat_partcorrcoef_test.m)
Function Synopsis
P = brede_mat_partcorrcoef_test(X, Y, Z, varargin)
Help text
brede_mat_partcorrcoef_test - Correlation coefficient
P = brede_mat_partcorrcoef_test(X, Y, Z, varargin)
Input: X 'Mat' structure
Y 'Mat' structure
Z 'Mat' structure with nuisances
Property: Info [ {0} | integer | Waitbar ] Amount of
running/debug information
MaxIterations [ {10000} | integer ] maximum number
of Monte Carlo permutations for the
permutation test
Type [ {TwoTailed} | LowerTail |
UpperTail | MaxPermuteTwoTailed ]
Type of test
Output: P 'Mat' struture with P-values
Test with univariate partial correlation coefficient between X
and Y with Z as the nuisance/covariates.
This test can also be performed from a graphical user
interface via the brede_ui_mat_partcorrcoef function.
'TwoTailed' will perform a test with Gaussian assumptions
using a t-distribution. The resulting P-value will not be
corrected for multiple comparisons.
Type='UpperTail' will perform a one-tailed test against the
t-distribution, i.e., measure the upper tail area of this
distribution.
Type='MaxPermuteTwoTailed' will make multiple correction with
the permutations and the maximum statistics. 'MaxIterations'
specifies the maximum number of Monte Carlo permutations to
perform.
Example:
% Data without correlation
P = brede_mat_partcorrcoef_test(randn(20,3), randn(20,4000), ...
randn(20,2), 'type', 'UpperTail');
figure, hist(P.matrix(:), 100)
% Positive correlation data
X = randn(20,100);
P = brede_mat_partcorrcoef_test(X, randn(20,100)+X, ...
randn(20,2), 'type', 'UpperTail');
figure, hist(diag(P.matrix), 10)
See also BREDE, BREDE_MAT, BREDE_MAT_CCA, BREDE_MAT_CORRCOEF,
BREDE_MAT_COV, BREDE_MAT_GLM, BREDE_MAT_MEAN,
BREDE_MAT_ORTHOSPACE, BREDE_MAT_PARTCORRCOEF,
BREDE_MAT_PARTCORRCOEF_TVALUE, BREDE_CDF_R,
BREDE_CDF_T, BREDE_UI_MAT_PARTCORRCOEF.
$Id: brede_mat_partcorrcoef_test.m,v 1.12 2008/06/20 10:30:54 fn Exp $
Cross-Reference Information
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Produced by mat2html on Fri Jun 20 17:43:05 2008
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