How can I select particular outcome of prediction of margin among whole data?

[Park Hwanggyu]

Here is a margin table of my data, whose name is 'datatable'.
I just typed 'margins datatable' simply and got this result. Next I drawed marginsplot, but it was too confusing because all 8 plots were intersecting each other.
So, I want to remove outcomes of prediction of 3, 4, 5, 6 among those. So far, I found how to hide them from graph, but not removing completely and now thinking removing them prior to make marginsplot.
What should I do in this situation?

[Andrew Musau]

sysuse auto, clear
mlogit rep78 mpg displ
*INCLUDE ONLY OUTCOMES 1, 3 & 5
margins, dydx(*) predict(outcome(1)) predict(outcome(3)) predict(outcome(5))

Res.:

. *INCLUDE ONLY OUTCOMES 1, 3 & 5

.
. margins, dydx(*) predict(outcome(1)) predict(outcome(3)) predict(outcome(5))

Average marginal effects                        Number of obs     =         69
Model VCE    : OIM

dy/dx w.r.t. : mpg displacement
1._predict   : Pr(rep78==1), predict(outcome(1))
2._predict   : Pr(rep78==3), predict(outcome(3))
3._predict   : Pr(rep78==5), predict(outcome(5))

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
mpg          |
    _predict |
          1  |  -.0005117   .0056718    -0.09   0.928    -.0116282    .0106049
          2  |   -.004905   .0163699    -0.30   0.764    -.0369894    .0271794
          3  |   .0075342   .0079805     0.94   0.345    -.0081074    .0231758
-------------+----------------------------------------------------------------
displacement |
    _predict |
          1  |  -1.28e-06   .0003301    -0.00   0.997    -.0006483    .0006457
          2  |   .0016077   .0009552     1.68   0.092    -.0002645    .0034798
          3  |  -.0019893   .0010984    -1.81   0.070    -.0041421    .0001635
------------------------------------------------------------------------------

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