TTEST2 (unpaired) t-test
     For two samples x and y from normal distributions with unknown
     means and unknown equal variances, perform a two-sample t-test of
     the null hypothesis of equal means.  Under the null, the test
     statistic T follows a Student distribution with DF degrees of
     freedom.

     TTEST2 treads NaNs as "Missing values" and ignores these. 

 H = ttest2(x,y)
 H = ttest2(x,y,alpha)
 H = ttest2(x,y,alpha,tail)
 H = ttest2(x,y,alpha,tail,vartype)
 H = ttest2(x,y,alpha,tail,vartype,DIM)
 [H,PVAL] = ttest2(...)
 [h,p,ci,stats] = ttest2(...)

     H=1 indicates a rejection of the Null-hypothesis at a significance 
     level of alpha (default alpha = 0.05).	 
 
     With the optional argument string TAIL, the Alternative of interest
     can be selected.  If TAIL is '!=' or '<>' or 'both', the null is tested
     against the two-sided Alternative `mean (X) ~= mean (Y)'.  If TAIL
     is '>' or 'right', the one-sided Alternative `mean (X) > mean (Y)' is used.
     Similarly for '<' or 'left', the one-sided Alternative `mean (X) < mean
     (Y)' is used.  The default is the two-sided case.
 
     vartype support only 'equal' (default value); the value 'unequal' is not supported. 

     H returns whether the Null-Hypotheses must be rejected. 
     The p-value of the test is returned in PVAL. 
 
     TTEST2 works on the first non-singleton dimension or on DIM. 

     If no output argument is given, the p-value of the test is
     displayed.

Package: nan