R help - Jul 2009 - transform multi skew-t to uniform distribution

Hi R-users,
 I have a data from multi skew t and would like to transform each of the data to
uniform data.  I tried using 'pmst' but only got one output:
 
> rr1 <- as.vector(r1);rr1
 [1]  0.7207582  5.2250906  1.7422237  0.5677233  0.7473555 -0.6020626
-2.1947872 -1.1128313 -0.6587316 -1.1409261
 
 
> pmst(rr1, xi=rep(0,10), Omega=diag(10), alpha=rep(1,10), df=5)
[1] 3.676525e-09
attr(,"error")
[1] 3.878226e-11
attr(,"status")
[1] "normal completion"
 
I hope someone can help me with this.


      
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RHRPO> 
RHRPO> Hi R-users,
RHRPO> _I have a data from multi skew t and would like to transform each of
the data to uniform data._ I tried using 'pmst' but only got one output:
RHRPO> _
RHRPO> > rr1 <- as.vector(r1);rr1
RHRPO> _[1]_ 0.7207582_ 5.2250906_ 1.7422237_ 0.5677233_ 0.7473555 -0.6020626
-2.1947872 -1.1128313 -0.6587316 -1.1409261
RHRPO> _
RHRPO> _
RHRPO> > pmst(rr1, xi=rep(0,10), Omega=diag(10), alpha=rep(1,10), df=5)
RHRPO> [1] 3.676525e-09

you are computing a 10-dimensional distribution function at a
a 10-dimensional point; so you get a single number out -- this is
as expected.

I presume that  actually you want to compute a 1-dimensional
distribution at 10 different points, which is achieved by 

   pst(rr1, dp=c(0,1,1,5))

[1] 0.564580 0.996707 0.867177 0.497123 0.575915 0.085922 0.004127
0.030807 [9] 0.076839 0.029117

Best regards,

Adelchi Azzalini
-- 
Adelchi Azzalini  <azzalini at stat.unipd.it>
Dipart.Scienze Statistiche, Universit? di Padova, Italia
tel. +39 049 8274147,  http://azzalini.stat.unipd.it/