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help for indexplot
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Index plots of estimation results 

        indexplot [if exp] [in range] [ , show([observed|predict_options])
                 high(#) low(#) base(str) recast(plottype) graph_options]


Description

    indexplot plots estimation results (by default whatever predict produces
    by default) from an immediately previous regress or similar command
    versus observation number (i.e. _n). Values are shown, by default, as
    dropped lines starting at 0. Note that the base need not be visible by
    default.

    The plot is restricted to at most the estimation sample. A subset of that
    may be shown by using if and/or in.


Options

    show() specifies either observed, to show observed values of the
        response, or options of predict. This option is used to specify
        results other than the default. Any abbreviation of observed or of
        predict_options that is acceptable to predict may be used.

    high(#) specifies that the highest # of the results are to be identified
        by their observation numbers using xlabel().

    low(#) specifies that the lowest # of the results are to be identified by
        their observation numbers using xlabel().

    base() specifies an alternative to 0 as the starting point for dropped
        lines. base(mean) specifies the mean of whatever is being shown;
        otherwise base(#) specifies a number #.

    recast() specifies the use of a twoway plottype differing from the
        default of twoway dropline.

    graph_options are those of twoway dropline, except if recast() is
        specified, in which case they are those of the plottype specified.


Examples

    . sysuse auto

    . regress mpg weight
    . indexplot
    . indexplot, base(mean)
    . indexplot, show(residual)
    . indexplot, show(residual) hi(3) lo(3) mla(make)
    . indexplot, show(cooksd) hi(6) mla(make)

    . glm mpg weight, link(log)
    . indexplot, show(anscombe) hi(3) lo(3)

    . sysuse census

    . regress marriage pop
    . indexplot, show(dfbeta(pop)) mla(state)


Author

    Nicholas J. Cox, University of Durham, U.K.
    n.j.cox@durham.ac.uk


Acknowledgements 

    Phil Ender and Andy Sloggett provided very helpful comments on a previous
    version.


Also see