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help for indexplot7
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Index plots of estimation results 

        indexplot7 [indexvar] [ , predict_options high(#) low(#) zero(str)
                points graph_options ]

Description

indexplot7 plots estimation results (by default whatever predict produces by
default) from an immediately previous regress or similar command versus a
numeric index or identifier variable, if that is supplied, or observation
number, if that is not supplied. Values are shown, by default, as vertical
spikes starting at 0.

The plot is restricted to the estimation sample.

indexplot7 is a renamed clone of indexplot 1.2.3 which is for Stata 7. Stata 8
users should use indexplot 2.0.0 or later.


Options

predict_options are options of predict used to specify results other than the
    default.

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

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

Note that the total number of observations identified by high() and low() must
    not exceed 25.

zero(str) specifies an alternative to 0 as the starting point for spikes.
    zero(mean) specifies the mean of whatever is being shown; zero(varname)
    specifies the values of a numeric variable varname; and zero(#) specifies a
    number #.

points specifies the plotting of points rather than spikes.

graph_options are bbox(), connect(), gap(), l1title(), saving(), symbol(),
    title(), xlabel(), ylabel() and yline(). Note that high() and low() control
    xlabel(); points sets connect(ii); and, if changing symbol() or connect(),
    that two variables are plotted on the y axis, the result and whatever is
    "zero".


Examples

    . use auto

    . regress mpg weight
    . indexplot7
    . indexplot7, sy([_n]i) c(..)
    . indexplot7, zero(mean)
    . indexplot7, residual hi(3) lo(3)
    . indexplot7, cooksd hi(6)

    . glm mpg weight, link(log)
    . indexplot7, anscombe hi(3) lo(3)

    . use census

    . encode state, gen(State)
    . regress marriage pop
    . indexplot7 State, residual hi(1)


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. 


Also see

On-line:  help for graph, regdiag, regplot (if installed), anovaplot (if
                   installed), ovfplot (if installed)