Joao Pedro W. de Azevedo <[email protected]> asks who to access the
confidence limits produced by the -bootstrap- command:
> I would like to know how I can save the bootstraped 95% confidence intervals
> of a mean. It would be best for me to save this either as a scalar or a
> local, since I will be using these values to generate a special tabulation
> of several variables.
>
> bootstrap "summarize mpg, detail" r(mean), reps(1000)
>
> Bootstrap statistics Number of obs =
> 74
> Replications =
> 1000
>
> ----------------------------------------------------------------------------
> --
> Variable | Reps Observed Bias Std. Err. [95% Conf. Interval]
> -------------+--------------------------------------------------------------
> --
> _bs_1 | 1000 21.43243 -.0398646 .7065564 20.04593 22.81894
> (N)
> | 20.06757 22.7973
> (P)
> | 20.14865 22.85135
> (BC)
> ----------------------------------------------------------------------------
> --
> Note: N = normal
> P = percentile
> BC = bias-corrected
The conficence limits are saved in matrices in e(). From [R] bootstrap:
e(ci_normal) normal-approximation Conficence limits
e(ci_percent) percentile Conficence limits
e(ci_bc) bias-corrected Conficence limits
e(ci_bca) bias-corrected and accelerated Conficence limits
--Jeff
[email protected]
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