st: bs problems

["Jun Xu" <mystata@hotmail.com>]

Thanks for Stata Corp people (Jeff) responding to my problem. I would be 
interested in knowing when the update will be realized. One more problem, 
why the reps(30) I specified is not consistent with the number under the 
Reps column (22) (as well as the matrix e(reps)? Also, though the ereturn 
can be modified to have the e(size) something like that, is that possible 
you could add the size return matrix too for next update?  Really 
appreciate.

Jun Xu
Department of Sociology
Indiana University at Bloomington

****************************************************************************
. bs "logit  lfp k5 age" "(1/(1+exp(-_b[age]+3*_b[k5])))", reps(30) size(20)

command:      logit lfp k5 age
statistic:    _bs_1      = 1/(1+exp(-_b[age]+3*_b[k5]))

Bootstrap statistics                              Number of obs    =       
753
                                                 Replications     =        
30

------------------------------------------------------------------------------
Variable     |  Reps  Observed      Bias  Std. Err. [95% Conf. Interval]
-------------+----------------------------------------------------------------
      _bs_1 |    22  .9802139 -.1673261  .2819232   .3939226   1.566505   
(N)
            |                                       .0139482   .9999998   
(P)
            |                                       .1713747   .9999998  
(BC)
------------------------------------------------------------------------------
Note:  N   = normal
      P   = percentile
      BC  = bias-corrected

. ereturn list

scalars:
                e(N) =  753

macros:
              e(cmd) : "bootstrap"
          e(predict) : "bs_p"

matrices:
                e(b) :  1 x 1
                e(V) :  1 x 1
             e(bs_b) :  1 x 1
        e(ci_normal) :  2 x 1
    e(ci_percentile) :  2 x 1
            e(ci_bc) :  2 x 1
             e(reps) :  1 x 1
             e(bias) :  1 x 1
               e(se) :  1 x 1
               e(z0) :  1 x 1

. mat list e(reps)

symmetric e(reps)[1,1]
     _bs_1
reps     22
***********************************************************

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