看outreg2的帮助啊
里面都有例子

Example 9. Adding r( ) e( ) scalars


    Additional statistics may be added with addstat( ) or addtext( ). Values stored in
    macros r( ), e( ), or s( ) can be included directly. You can see what values are
    available by typing ereturn list or return list.

    To test the equality of two of the estimated coefficients and report the results in the
    table, note that test will sometimes return chi-squared, then you would instead use
    addstat(chi-square test, r(chi2)):

    reg mpg foreign weight length
    test foreign length
    outreg2 using myfile, adds(F-test, r(F), Prob > F, `r(p)') replace
    seeout

    To add results of lincom postestimation command to a table:

    sysuse auto, clear
    reg price mpg rep78 head
    lincom mpg + rep
    local tstat=r(estimate)/r(se)
    local pval = tprob(r(df), abs(`tstat'))
    outreg2 using "myfile", adds(joint, r(estimate), t-stat, `tstat', p-val,`pval')
          replace see

    In some cases it is better to save the value of a previously calculated statistic in a
    local macro and then put that into addstat( ):

    regress mpg rep78 headroom
    test rep78
    local F1 = r(F)
    test headroom
    outreg2 using 2test, addstat(Test1 F, `F1', Test2 F, `r(F)')

    If it is missing, outreg2 will automatically calculate e(p), which is presumably the
    F-test or chi-square-test of significance of a regression.

    outreg2 using myfile, addstat(F test, e(p))

    Another example would be to report a pseudo R-squared after a logit estimation, which
    outreg2 does not otherwise report.

    logit foreign price trunk weight
    outreg2 using myfile, addstat(Pseudo R-squared, `e(r2_p)')

还有我想继续问一下，我F test的结果是5.87e-09        5.87e-09        5.87e-09，在哪里输入format呢？

还有我想继续问一下，我F test的结果是5.87e-09  5.87e-09        5.87e-09，在哪里输入format呢？

看帮助啊，里面都有介绍啊，这些问题，自己多看帮助，都能够解决的。否则，你怎么能自己处理问题。


   fixed decimals & formats

        dec(#) or fmt(type) for everything, default dec(3) and fmt(fc)

        where # is fixed decimals between 0 and 11,
        and type is one of the following:

         e   exponential
         f   fixed
         fc  fixed with commas for thousands
         g   general
         gc  general with commas for thousands

        Use the following only if you want them different from dec(#) or fmt(type):

        bdec(#) or bfmt(type) for coefficient only
        sdec(#) or sfmt(type) for standard error
        tdec(#) or tfmt(type) for t-statistics
        pdec(#) or pfmt(type) for p-value
        cdec(#) or cfmt(type) for conf. interval
        rdec(#) or rfmt(type) for r-square
        adec(#) or afmt(type) for addstat( ) contents