[Prob,T] = lyngby_ts_main(P, X, arg1, arg2, arg3, arg4)

lyngby_ts_main - Whole volume Student's t-test for equal variances. function [Prob,T] = lyngby_ts_main(P, X, 'PropertyName', 'PropertyValue') Input: P Paradigm X Datamatrix Property: EdgeDrop The number of scans to discard at the transitions of the paradigm Output: Prob Probability (p-value) T Student's unpaired t-value This function gives the probability that Student's t calculated on data X1 and X2, sampled from distributions with the same variance, is higher than observed, i.e. the "significance" level. This is used to test whether two sample have significantly different means. The whole volume is tested (compare with lyngby_ts_ttest) and X1 are taken from the on-periods and X2 from the off-periods. A number of scans (edgedrop) can be left out of the analysis in order to accommodate to the heamodynamical response time. The smaller P is, the more significant the difference between the means. E.g. if P = 0.05 or 0.01, it is very likely that the two sets are sampled from distributions with different means. This assumes that the samples are drawn from distributions with the SAME VARIANCE. The test is unpaired. See also: LYNGBY, LYNGBY_TS_TTEST, LYNGBY_TS_UTTEST, LYNGBY_TS_PTEST, LYNGBY_BAT_TEST. $Id: lyngby_ts_main.m,v 1.10 2002/11/18 17:48:01 fnielsen Exp $

- lyngby_log export/lyngby/lyngby_log.m
- lyngby_mod export/lyngby/lyngby_mod.m
- lyngby_splitonoffexport/lyngby/lyngby_splitonoff.m
- lyngby_ts_ttestexport/lyngby/lyngby_ts_ttest.m

- lyngby_uis_ts export/lyngby/lyngby_uis_ts.m

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