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help for ofrtplot
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Plot observed, fitted and residuals versus `time' variable 

        ofrtplot [varname] [ , super ofplot(line_options)
                 rplot(spike_options) combine(graph_options) ]


Description

    ofrtplot plots observed, fitted and residuals from the last model against
    a predictor. It is primarily designed for time series models and by
    default the predictor is whatever has been tsset as the time variable.
    However, other variables may be specified, whether or not data have been
    tsset.

    Observed values are for the response or dependent variable from the last
    model, fitted values are whatever predict produces by default and
    residuals are whatever predict, res produces. The plot is restricted to
    the estimation sample.

    By default, the plot has two panels. In the top panel, observed and
    fitted are plotted against the predictor. In the bottom panel, residuals
    are plotted against the predictor, by default as spikes from zero.


Options

    super specifies that plots are to be superimposed, not separate.

    ofplot() specifies options of twoway line to tune the display of observed
    and fitted values.

    rplot() specifies options of twoway spike to tune the display of
    residuals.

    combine() specifies options to control the combination of the two graphs.
    This has no effect with super.


Examples

    . tsset time
    . regress whatever time
    . ofrtplot

    . gen gpm = 1 / mpg
 
    . regress gpm weight
  
    . ofrtplot, ofplot(recast(scatter) ms(Oh none) connect(none l))


Author

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


Acknowledgements 

    Denis de Crombrugghe suggested this program originally.  Kit Baum made
    several useful suggestions.


Also see

    On-line: help for predict, tsset, modeldiag