marginsplot error: "variable _pw0 not found" and "_term not labeled"

[Fred Dzanku]

Dear All, I tried to use marginsplot after the following regression and got error messages I do not understand.

probit y i.v##i.x1 i.x2 x3 i.t, cl(id)
margins v, dydx(x1) pwcompare(pveffects) mcompare(bonferroni)
marginsplot

The above gives the following error message: variable _pw0 not found. Issuing the command

marginsplot, horizontal unique xline(0) recast(scatter) yscale(reverse)

after

margins v, dydx(x1) pwcompare(pveffects) mcompare(bonferroni)

gives: _term not labeled.

I wonder why? Can anyone help please?

Here is the data:

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(id v t y x1 x2 x3)
20010 1 1 1 0 1 40
20010 1 2 0 0 1 75
20010 1 3 0 0 1 52
20012 1 2 0 0 1 51
20012 1 3 0 1 1 48
20022 1 2 0 0 1 60
20022 1 3 0 0 0 64
20030 1 1 1 0 1 30
20030 1 2 1 0 1 45
20030 1 3 1 0 1 48
20042 1 2 0 0 1 65
20042 1 3 1 0 1 70
20052 1 2 1 0 1 35
20052 1 3 1 0 1 45
20060 1 1 1 0 1 45
20060 1 2 1 0 1 50
20060 1 3 1 0 1 69
20062 1 2 0 0 1 61
20062 1 3 1 0 1 67
20070 1 1 0 0 1 49
20070 1 2 1 0 1 62
20070 1 3 0 1 1 53
20072 1 2 0 0 0 29
20072 1 3 0 0 1 31
20080 1 1 0 0 1 36
20080 1 2 1 0 1 28
20080 1 3 0 0 1 40
20082 1 2 1 0 1 40
20082 1 3 1 0 1 48
20092 1 2 0 0 1 29
20092 1 3 0 0 1 58
20102 1 2 1 0 1 47
20102 1 3 1 0 1 50
20110 1 1 1 1 1 35
20110 1 2 0 0 1 37
20122 1 2 1 0 1 63
20122 1 3 1 1 1 65
20130 1 1 0 1 0 32
20130 1 2 1 1 1 60
20130 1 3 1 1 1 70
20132 1 2 0 0 1 33
20132 1 3 1 0 1 45
20140 1 1 0 0 0 32
20140 1 2 0 0 1 40
20140 1 3 0 0 0 48
20142 1 2 1 0 0 35
20142 1 3 0 0 1 40
20150 1 1 1 1 1 27
20150 1 2 1 1 1 32
20150 1 3 0 0 1 30
20152 1 2 0 0 1 78
20152 1 3 0 0 1 51
20160 1 1 0 0 1 45
20160 1 2 1 0 1 55
20160 1 3 0 0 1 48
20162 1 2 1 0 1 46
20162 1 3 1 0 1 51
20170 1 1 1 0 1 49
20170 1 2 0 0 1 47
20170 1 3 0 0 1 58
20172 1 2 1 1 1 62
20172 1 3 1 1 1 67
20180 1 1 1 0 1 40
20180 1 2 0 0 0 65
20180 1 3 0 0 1 43
20182 1 2 1 0 1 45
20182 1 3 1 0 1 65
20192 1 2 1 0 1 37
20192 1 3 0 0 1 41
20200 1 1 0 0 1 25
20200 1 2 0 1 1 31
20200 1 3 0 0 1 36
20202 1 2 1 0 1 26
20202 1 3 1 0 1 32
20210 1 1 1 0 0 53
20210 1 2 0 0 0 61
20210 1 3 1 1 1 35
20212 1 2 0 0 0 45
20212 1 3 0 0 1 52
20220 1 1 0 0 1 25
20220 1 2 1 0 1 25
20220 1 3 0 0 1 40
20222 1 2 1 0 1 45
20222 1 3 0 0 1 40
20230 1 1 1 0 0 72
20230 1 2 0 0 0 77
20230 1 3 1 0 1 45
20232 1 2 1 0 1 45
20232 1 3 0 0 1 47
20240 1 1 0 0 0 75
20240 1 2 1 0 0 40
20250 1 1 0 0 0 38
20250 1 2 1 0 1 45
20250 1 3 0 0 1 29
20260 1 1 1 0 0 45
20260 1 2 1 1 1 59
20260 1 3 0 0 1 48
20262 1 2 1 0 1 35
20262 1 3 0 0 1 39
20270 1 1 0 0 0 51
end
label values t year
label def year 1 "Afrint1", modify
label def year 2 "Afrint2", modify
label def year 3 "Afrint3", modify
label values x1 nfwe
label def nfwe 0 "no", modify
label def nfwe 1 "yes", modify
label values x2 fertd
label def fertd 0 "no", modify
label def fertd 1 "yes", modify

Fred

[Friedrich Huebler]

I cannot reproduce the error messages that you mentioned. Instead, I get this:

. margins v, dydx(x1) pwcompare(pveffects) mcompare(bonferroni)
invalid pairwise comparison;
term with only one level not allowed
r(322);

[Fred Dzanku]

Really? First, i think the data was truncated. The full data is below but I get the same error:

probit y i.v##i.x1 i.x2 x3 i.t, cl(id)
margins v, dydx(x1) pwcompare(pveffects) mcompare(bonferroni)
marginsplot, horizontal unique xline(0) recast(scatter) yscale(reverse)

_term not labeled

This is how I went around it, not sure if this is correct but I guess so:

probit y i.v##c.x1 i.x2 x3 i.t, cl(id)
margins v, dydx(x1) at(x1=(1)) pwcompare(pveffects) mcompare(bonferroni)
marginsplot, horizontal unique xline(0) recast(scatter) yscale(reverse)

Here is the data:

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(id t y v x1 x2 x3)
20010 1 1 1 0 0 40
20010 2 0 1 0 0 75
20010 3 0 1 0 0 52
20012 2 0 1 0 0 51
20012 3 0 1 1 0 48
20022 2 0 1 0 0 60
20022 3 0 1 0 0 64
20030 1 1 1 0 0 30
20030 2 1 1 0 0 45
20030 3 1 1 0 1 48
20042 2 0 1 0 0 65
20042 3 1 1 0 0 70
20052 2 1 1 0 1 35
20052 3 1 1 0 1 45
20060 1 1 1 0 0 45
20060 2 1 1 0 0 50
20060 3 1 1 0 0 69
20062 2 0 1 0 0 61
20062 3 1 1 0 0 67
20070 1 0 1 0 0 49
20070 2 1 1 0 1 62
20070 3 0 1 1 1 53
20072 2 0 1 0 0 29
20072 3 0 1 0 0 31
20080 1 0 1 0 0 36
20080 2 1 1 0 0 28
20080 3 0 1 0 0 40
20082 2 1 1 0 0 40
20082 3 1 1 0 0 48
20092 2 0 1 0 1 29
20092 3 0 1 0 1 58
20102 2 1 1 0 0 47
20102 3 1 1 0 0 50
20110 1 1 1 1 0 35
20110 2 0 1 0 0 37
20122 2 1 1 0 0 63
20122 3 1 1 1 0 65
20130 1 0 1 1 0 32
20130 2 1 1 1 1 60
20130 3 1 1 1 0 70
20132 2 0 1 0 0 33
20132 3 1 1 0 0 45
20140 1 0 1 0 0 32
20140 2 0 1 0 0 40
20140 3 0 1 0 0 48
20142 2 1 1 0 0 35
20142 3 0 1 0 0 40
20150 1 1 1 1 0 27
20150 2 1 1 1 1 32
20150 3 0 1 0 1 30
20152 2 0 1 0 0 78
20152 3 0 1 0 1 51
20160 1 0 1 0 0 45
20160 2 1 1 0 0 55
20160 3 0 1 0 0 48
20162 2 1 1 0 0 46
20162 3 1 1 0 0 51
20170 1 1 1 0 1 49
20170 2 0 1 0 1 47
20170 3 0 1 0 1 58
20172 2 1 1 1 1 62
20172 3 1 1 1 0 67
20180 1 1 1 0 0 40
20180 2 0 1 0 0 65
20180 3 0 1 0 0 43
20182 2 1 1 0 0 45
20182 3 1 1 0 0 65
20192 2 1 1 0 0 37
20192 3 0 1 0 0 41
20200 1 0 1 0 0 25
20200 2 0 1 1 0 31
20200 3 0 1 0 0 36
20202 2 1 1 0 0 26
20202 3 1 1 0 0 32
20210 1 1 1 0 0 53
20210 2 0 1 0 0 61
20210 3 1 1 1 0 35
20212 2 0 1 0 0 45
20212 3 0 1 0 0 52
20220 1 0 1 0 0 25
20220 2 1 1 0 0 25
20220 3 0 1 0 0 40
20222 2 1 1 0 1 45
20222 3 0 1 0 0 40
20230 1 1 1 0 1 72
20230 2 0 1 0 1 77
20230 3 1 1 0 0 45
20232 2 1 1 0 0 45
20232 3 0 1 0 0 47
20240 1 0 1 0 0 75
20240 2 1 1 0 0 40
20250 1 0 1 0 0 38
20250 2 1 1 0 1 45
20250 3 0 1 0 0 29
20260 1 1 1 0 0 45
20260 2 1 1 1 0 59
20260 3 0 1 0 0 48
20262 2 1 1 0 0 35
20262 3 0 1 0 0 39
20270 1 0 1 0 1 51
20270 2 0 1 0 0 62
20270 3 0 1 0 1 61
20272 2 0 1 0 0 42
20272 3 1 1 0 0 55
20280 1 1 1 0 0 77
20280 2 0 1 0 0 83
20280 3 0 1 0 0 58
20282 2 1 1 1 0 45
20282 3 0 1 0 0 45
20292 2 0 1 0 0 44
20292 3 1 1 0 0 49
20302 2 1 1 0 0 76
20302 3 0 1 1 0 40
20310 1 0 1 0 1 43
20310 2 0 1 0 1 45
20320 1 1 1 1 1 60
20320 2 1 1 0 1 59
20320 3 1 1 0 1 50
20322 2 0 2 0 1 52
20322 3 0 2 0 1 55
20330 1 1 1 0 0 53
20330 2 1 1 0 0 47
20330 3 0 1 0 0 64
20332 2 1 2 0 1 48
20332 3 1 2 0 0 68
20340 1 1 1 0 0 63
20340 2 1 1 0 0 68
20340 3 0 1 0 0 40
20342 2 1 2 1 0 57
20342 3 0 2 0 0 61
20350 1 0 1 0 0 40
20350 2 1 1 0 0 49
20350 3 0 1 1 0 55
20352 2 1 2 0 0 35
20352 3 0 2 0 0 33
20362 2 1 2 0 0 41
20362 3 0 2 0 0 45
20372 2 1 2 0 1 74
20372 3 0 2 0 1 76
20380 1 1 1 0 1 70
20380 2 0 1 0 1 75
20380 3 0 1 0 1 70
20382 2 0 2 1 0 44
20382 3 0 2 0 0 53
20390 1 0 1 0 0 26
20390 2 0 1 0 0 27
20390 3 0 1 1 0 35
20392 2 0 2 1 0 76
20392 3 0 2 0 0 80
20400 1 1 1 0 0 38
20400 2 1 1 0 0 40
20400 3 1 1 0 0 50
20402 2 0 2 0 0 40
20402 3 1 2 0 1 48
20410 1 1 1 0 0 30
20410 2 1 1 0 0 42
20410 3 1 1 0 0 48
20412 2 1 2 0 0 50
20412 3 0 2 0 0 56
20422 2 1 2 0 0 62
20422 3 0 2 0 0 70
20430 1 0 1 0 0 50
20430 2 0 1 0 0 75
20430 3 0 1 0 0 58
20432 2 0 2 1 0 49
20432 3 1 2 1 0 55
20442 2 1 2 0 0 69
20442 3 0 2 1 0 80
20450 1 0 1 0 0 31
20450 2 1 1 0 0 38
20450 3 1 1 0 0 52
20452 2 1 2 0 0 45
20452 3 0 2 0 1 50
20460 1 0 2 0 1 35
20460 2 1 2 0 0 46
20460 3 1 2 1 0 41
20462 2 1 2 0 0 50
20462 3 0 2 1 0 45
20470 1 0 2 0 1 45
20470 2 1 2 0 0 65
20472 2 0 2 0 1 36
20472 3 0 2 0 0 62
20480 1 1 2 0 0 54
20480 2 1 2 0 1 45
20480 3 0 2 0 0 52
20482 2 0 2 0 0 41
20482 3 1 2 0 0 45
20490 1 1 2 1 0 38
20490 2 1 2 1 0 44
20490 3 1 2 1 0 49
20500 1 1 2 1 0 60
20500 2 1 2 1 0 67
20500 3 1 2 1 0 41
20510 1 1 2 0 0 35
20510 2 1 2 0 0 52
20510 3 0 2 0 0 61
20512 2 0 2 0 0 47
20512 3 0 2 0 0 50
20520 1 0 2 1 0 60
20520 2 1 2 0 1 50
20522 2 0 2 0 0 71
20522 3 0 2 0 1 79
20532 2 0 2 0 0 73
20532 3 0 2 0 0 78
20540 1 0 2 0 1 35
20540 2 1 2 0 0 37
20540 3 1 2 1 0 44
20542 2 1 2 0 0 74
20542 3 1 2 0 1 48
20550 1 0 2 1 0 40
20550 2 0 2 0 0 37
20550 3 0 2 1 0 53
20560 1 1 2 1 1 42
20560 2 1 2 0 0 56
20560 3 0 2 0 1 57
20570 1 0 2 0 1 44
20570 2 1 2 0 1 44
20572 2 0 2 0 0 46
20572 3 0 2 0 0 42
20582 2 1 2 0 0 27
20582 3 1 2 0 0 27
20592 2 1 2 0 0 68
20592 3 1 2 0 0 72
20600 1 0 2 0 1 65
20600 2 1 2 0 0 46
20600 3 1 2 0 0 54
20602 2 0 3 0 1 49
20602 3 0 3 0 1 54
20610 1 0 2 0 1 49
20610 2 1 2 0 1 56
20610 3 0 2 0 1 66
20612 2 0 3 0 0 47
20612 3 1 3 0 1 52
20620 1 0 2 0 1 63
20620 2 1 2 0 1 45
20622 2 0 3 0 0 65
20622 3 1 3 0 0 28
20630 1 0 2 0 1 69
20630 2 0 2 0 0 28
20630 3 0 2 0 0 35
20632 2 0 3 0 1 52
20632 3 1 3 0 0 30
20642 2 1 3 0 0 27
20642 3 1 3 1 0 68
20652 2 1 3 0 1 44
20652 3 1 3 0 1 46
20660 1 1 2 0 0 47
20660 2 1 2 1 0 52
20662 2 1 3 0 0 36
20662 3 1 3 0 0 39
20670 1 0 2 0 0 26
20670 2 1 2 0 0 60
20670 3 0 2 0 1 56
20680 1 1 2 0 0 29
20680 2 0 2 0 0 29
20680 3 1 2 0 0 43
20682 2 1 3 0 1 36
20682 3 1 3 0 1 43
20690 1 0 2 0 0 50
20690 2 0 2 1 0 35
20692 2 1 3 0 0 65
20692 3 1 3 1 1 38
20700 1 0 2 0 0 27
20700 2 0 2 0 0 26
20700 3 1 2 1 0 58
20710 1 0 2 0 0 50
20710 2 1 2 0 0 40
20710 3 0 2 0 0 32
20712 2 1 3 0 1 27
20712 3 1 3 0 0 46
20720 1 0 2 0 0 62
20720 2 1 2 0 0 73
20720 3 0 2 0 0 75
20722 2 1 3 0 1 40
20722 3 0 3 0 0 62
20730 1 0 2 0 0 62
20730 2 1 2 0 0 75
20730 3 0 2 0 0 29
20732 2 1 3 0 0 34
20732 3 1 3 1 0 39
20740 1 0 2 0 0 45
20740 2 0 2 0 0 50
20740 3 0 2 0 0 56
20750 1 0 2 0 0 50
20750 2 1 2 0 0 54
20750 3 1 2 0 0 57
20752 2 1 3 1 0 42
20752 3 0 3 0 0 55
20762 2 1 3 0 0 36
20762 3 1 3 0 0 45
20770 1 1 2 0 0 67
20770 2 0 2 1 0 73
20770 3 0 2 0 1 67
20780 1 0 2 0 1 45
20780 2 0 2 0 1 70
20782 2 0 3 0 0 72
20782 3 1 3 0 0 74
20790 1 0 2 0 1 58
20790 2 1 2 0 1 70
20790 3 1 2 1 0 70
20792 2 1 3 0 0 29
20792 3 0 3 0 0 33
20800 1 1 2 0 0 65
20800 2 0 2 0 0 72
20800 3 0 2 0 0 69
20802 2 1 3 0 1 23
20802 3 1 3 1 0 58
20810 1 0 2 0 1 23
20810 2 1 2 0 1 32
20810 3 0 2 0 1 34
20812 2 0 3 0 0 27
20812 3 0 3 0 0 33
20820 1 1 2 0 0 44
20820 2 1 2 0 1 43
20820 3 1 2 0 1 50
20830 1 0 2 0 0 71
20830 2 1 2 0 0 71
20830 3 0 2 0 0 55
20840 1 0 2 0 1 52
20840 2 0 2 0 1 60
20840 3 0 2 0 1 68
20850 1 1 2 0 0 63
20850 2 1 2 0 0 70
20850 3 0 2 1 0 75
20860 1 0 2 1 0 60
20860 2 1 2 0 1 54
20860 3 0 2 0 1 59
20870 1 1 2 0 0 30
20870 2 0 2 0 0 32
20880 1 0 2 0 0 45
20880 2 0 2 0 0 45
20890 1 1 2 0 1 42
20890 2 1 2 0 1 50
20890 3 1 2 0 1 51
20900 1 0 2 0 0 35
20900 2 1 2 0 0 35
20900 3 1 2 1 0 36
20910 1 1 2 0 0 42
20910 2 0 2 0 0 46
20910 3 0 2 0 0 52
20920 1 0 2 0 0 57
20920 2 1 2 1 0 33
20930 1 1 2 0 0 50
20930 2 1 2 0 0 50
20930 3 1 2 0 1 56
20940 1 0 2 0 1 60
20940 2 1 2 0 0 65
20940 3 1 2 0 1 60
20950 1 0 2 1 0 38
20950 2 1 2 0 0 37
20960 1 1 3 1 0 74
20960 2 1 3 0 0 45
20960 3 1 3 0 1 30
20970 1 0 3 0 0 60
20970 2 0 3 0 0 30
20970 3 0 3 0 1 23
20980 1 0 3 0 1 46
20980 2 0 3 0 1 57
20980 3 1 3 0 0 66
21000 1 1 3 0 0 46
21000 2 1 3 0 0 51
21010 1 0 3 0 1 32
21010 2 0 3 0 0 43
21010 3 1 3 1 1 40
21020 1 1 3 0 0 55
21020 2 0 3 0 0 34
21020 3 1 3 0 0 39
21030 1 1 3 0 0 25
21030 2 1 3 0 0 32
21030 3 0 3 0 1 29
21040 1 0 3 0 0 54
21040 2 1 3 0 0 55
21040 3 1 3 0 0 50
21050 1 1 3 0 0 50
21050 2 1 3 0 0 60
21060 1 0 3 0 1 48
21060 2 1 3 0 0 56
21080 1 0 3 0 0 42
21080 2 1 3 0 0 48
21080 3 1 3 0 0 55
21090 1 0 3 0 0 35
21090 2 1 3 0 0 38
21090 3 1 3 0 0 35
21100 1 0 3 0 1 45
21100 2 1 3 0 1 52
21100 3 1 3 1 0 61
21120 1 0 3 0 0 75
21120 2 1 3 0 0 75
21130 1 0 3 0 0 23
21130 2 1 3 0 0 23
21130 3 1 3 0 0 34
21140 1 1 3 0 0 28
21140 2 1 3 1 0 33
21150 1 1 3 0 0 35
21150 2 1 3 0 0 40
21150 3 1 3 0 0 45
21160 1 0 3 0 0 56
21160 2 1 3 0 0 59
21160 3 1 3 1 0 64
21170 1 0 3 0 0 47
21170 2 1 3 0 0 54
21180 1 1 3 0 0 28
21180 2 1 3 1 0 33
21180 3 1 3 0 0 39
21190 1 0 3 0 0 57
21190 2 1 3 0 0 62
21200 1 0 3 0 0 64
21200 2 1 3 0 0 43
21200 3 1 3 0 0 47
21210 1 0 3 0 0 40
21210 2 0 3 0 0 45
21210 3 0 3 0 0 40
21220 1 1 3 0 0 29
21220 2 0 3 0 0 45
21240 1 1 3 0 1 38
21240 2 1 3 0 0 46
21250 1 0 3 0 0 28
21250 2 1 3 0 0 33
21260 1 1 3 0 0 46
21260 2 1 3 0 0 52
21270 1 0 3 0 0 63
21270 2 1 3 0 0 70
21280 1 1 3 0 1 54
21280 2 1 3 0 0 50
21280 3 1 3 0 0 57
21290 1 1 3 0 0 46
21290 2 1 3 0 0 52
21290 3 1 3 0 1 43
21300 1 1 3 0 1 44
21300 2 1 3 0 1 50
21300 3 1 3 0 0 57
21330 1 1 3 0 0 65
21330 2 1 3 0 0 60
21330 3 0 3 0 1 46
21340 1 1 3 0 1 64
21340 2 0 3 0 1 67
21340 3 0 3 0 1 70
21350 1 0 3 0 0 48
21350 2 1 3 0 0 46
21350 3 1 3 0 0 51
21370 1 1 3 0 0 29
21370 2 1 3 1 0 34
21370 3 1 3 0 0 43
21380 1 0 3 1 0 24
21380 2 1 3 1 0 30
21380 3 1 3 0 0 48
21390 1 0 3 0 0 45
21390 2 1 3 0 1 50
21390 3 1 3 0 1 55
21400 1 1 3 0 1 52
21400 2 1 3 0 0 51
21410 1 0 3 1 0 45
21410 2 1 3 0 0 48
21410 3 1 3 0 0 54
21430 1 0 3 0 0 38
21430 2 1 3 1 0 43
21430 3 1 3 1 0 49
21440 1 0 3 0 0 26
21440 2 1 3 0 1 37
21440 3 1 3 0 0 70
21450 1 1 3 0 1 45
21450 2 1 3 0 0 52
21450 3 1 3 0 0 57
21460 1 1 3 0 0 50
21460 2 1 3 0 0 55
21460 3 1 3 0 0 59
21470 1 0 3 0 0 50
21470 2 1 3 0 0 60
21480 1 0 3 0 1 38
21480 2 1 3 0 1 43
21480 3 1 3 0 1 50
21490 1 0 3 0 0 35
21490 2 0 3 0 0 40
21500 1 1 3 0 0 48
21500 2 1 3 0 0 51
21500 3 1 3 1 0 59
21520 1 1 3 0 0 38
21520 2 1 3 0 0 43
21520 3 1 3 1 0 49
21530 1 1 3 0 0 49
21530 2 1 3 0 0 52
21530 3 1 3 0 0 58
21540 1 1 3 0 0 34
21540 2 1 3 0 0 39
21540 3 1 3 0 0 33
21550 1 0 3 0 0 28
21550 2 0 3 0 1 30
21550 3 1 3 0 0 48
21580 1 0 3 0 1 56
21580 2 0 3 0 1 64
21580 3 1 3 0 1 70
21682 2 0 4 0 0 50
21682 3 0 4 0 0 45
21692 2 0 4 0 0 56
21692 3 0 4 0 0 42
21702 2 1 4 0 0 62
21702 3 0 4 0 1 59
21712 2 0 4 1 0 42
21712 3 0 4 0 0 62
21732 2 0 4 1 0 37
21732 3 0 4 1 0 39
21742 2 0 4 0 0 39
21742 3 0 4 0 0 42
21752 2 1 4 0 1 45
21752 3 1 4 0 0 56
21762 2 0 4 0 0 30
21762 3 0 4 0 0 38
21772 2 0 4 0 0 54
21772 3 0 4 0 0 54
21782 2 0 4 0 0 74
21782 3 0 4 0 0 60
21792 2 1 4 0 0 40
21792 3 0 4 0 0 48
21802 2 0 4 1 0 37
21802 3 0 4 0 0 37
21812 2 0 4 0 0 52
21812 3 0 4 0 0 65
21822 2 0 4 0 0 44
21822 3 0 4 0 0 49
21832 2 0 4 1 0 42
21832 3 0 4 0 0 55
21842 2 0 4 0 0 83
21842 3 0 4 1 0 82
21852 2 0 4 1 0 27
21852 3 0 4 1 0 37
21862 2 0 4 0 1 57
21862 3 0 4 0 1 63
21872 2 0 4 0 0 83
21872 3 0 4 0 1 63
21892 2 0 4 1 0 79
21892 3 0 4 1 0 79
21912 2 1 4 0 0 70
21912 3 0 4 0 0 80
21922 2 0 5 0 0 30
21922 3 0 5 0 0 30
21932 2 1 5 1 1 64
21932 3 0 5 0 1 68
21942 2 0 5 0 0 55
21942 3 0 5 1 0 50
21952 2 1 5 0 0 50
21952 3 0 5 0 1 45
21962 2 0 5 0 0 70
21962 3 0 5 0 0 68
21972 2 1 5 0 0 46
21972 3 0 5 0 0 52
21982 2 0 5 0 0 48
21982 3 0 5 0 1 48
21992 2 1 5 0 0 65
21992 3 0 5 0 0 62
22002 2 0 5 0 0 49
22002 3 0 5 0 0 57
22012 2 0 5 0 0 63
22012 3 0 5 0 0 60
22022 2 0 5 0 0 32
22022 3 0 5 0 1 27
22032 2 1 5 0 1 43
22032 3 0 5 0 0 47
22042 2 1 5 0 0 82
22042 3 0 5 0 0 62
22052 2 0 5 0 1 46
22052 3 0 5 0 1 57
22062 2 0 5 0 0 58
22062 3 0 5 0 1 55
22072 2 1 5 0 0 60
22072 3 0 5 1 0 40
22082 2 1 5 0 1 60
22082 3 0 5 0 0 73
22092 2 0 5 0 0 60
22092 3 0 5 0 0 65
22102 2 1 5 0 0 39
22102 3 0 5 1 0 51
22112 2 0 5 1 0 25
22112 3 0 5 0 0 23
23130 1 0 4 0 0 68
23130 2 0 4 1 0 73
23140 1 0 4 1 0 63
23140 2 1 4 0 1 32
23150 1 0 4 0 0 42
23150 2 0 4 1 0 45
23160 1 0 4 0 0 75
23160 2 1 4 0 0 62
23160 3 0 4 0 0 74
23170 1 0 4 1 0 80
23170 2 1 4 0 0 75
23170 3 0 4 1 0 72
23180 1 0 4 0 0 48
23180 2 0 4 0 0 54
23180 3 1 4 0 0 62
23190 1 0 4 0 0 47
23190 2 0 4 0 0 54
23190 3 0 4 1 0 69
23210 1 0 4 0 0 38
23210 2 0 4 0 0 49
23210 3 0 4 0 1 56
23220 1 1 4 0 0 75
23220 2 0 4 0 0 75
23220 3 0 4 0 0 79
23230 1 1 4 1 1 60
23230 2 0 4 0 0 64
23230 3 0 4 1 1 37
23240 1 0 4 0 0 33
23240 2 0 4 1 0 46
23240 3 0 4 0 0 75
23250 1 0 4 0 0 52
23250 2 0 4 0 0 62
23250 3 0 4 1 0 56
23260 1 0 4 0 0 37
23260 2 0 4 1 0 44
23260 3 0 4 1 0 47
23270 1 0 4 0 0 54
23270 2 0 4 1 0 60
23270 3 0 4 0 0 64
23280 1 0 4 0 0 55
23280 2 0 4 0 1 55
23280 3 0 4 0 1 51
23290 1 0 4 0 0 30
23290 2 0 4 0 0 43
23290 3 0 4 0 0 51
23300 1 0 4 1 0 65
23300 2 0 4 1 0 28
23300 3 0 4 0 0 39
23310 1 0 4 0 0 29
23310 2 0 4 1 0 29
23310 3 0 4 1 0 34
23320 1 0 4 0 0 26
23320 2 0 4 1 0 30
23320 3 0 4 1 0 36
23330 1 0 4 0 0 60
23330 2 0 4 1 0 42
23330 3 0 4 0 0 52
23340 1 0 4 0 0 70
23340 2 1 4 1 0 70
23340 3 0 4 0 0 33
23350 1 0 4 0 0 45
23350 2 0 4 0 0 34
23350 3 0 4 0 0 49
23360 1 0 4 0 0 31
23360 2 1 4 0 0 46
23360 3 0 4 0 0 43
23370 1 0 4 0 0 23
23370 2 0 4 1 0 28
23370 3 0 4 0 1 30
23380 1 0 4 0 0 30
23380 2 1 4 0 0 30
23380 3 0 4 1 0 39
23390 1 0 4 0 0 53
23390 2 0 4 1 0 58
23400 1 0 4 1 0 54
23400 2 0 4 1 0 60
23400 3 0 4 0 0 63
23410 1 0 4 1 0 32
23410 2 0 4 0 0 41
23410 3 0 4 0 0 50
23420 1 1 4 0 0 55
23420 2 0 4 1 0 75
23420 3 0 4 1 0 60
23440 1 0 4 0 0 65
23440 2 0 4 1 0 70
23440 3 0 4 0 1 60
23460 1 0 4 0 0 52
23460 2 0 4 0 0 51
23460 3 0 4 0 0 52
23470 1 0 4 0 0 45
23470 2 0 4 0 1 68
23470 3 0 4 0 1 75
23480 1 1 4 0 0 30
23480 2 0 4 0 0 82
23480 3 0 4 0 0 70
23490 1 0 4 0 0 70
23490 2 1 4 0 0 64
23490 3 0 4 1 0 68
23500 1 0 4 0 0 44
23500 2 0 4 1 0 56
23500 3 0 4 1 0 56
23510 1 0 4 0 0 50
23510 2 0 4 0 0 75
23510 3 0 4 1 0 61
23520 1 0 4 0 0 54
23520 2 0 4 0 1 61
23520 3 0 4 0 0 81
23530 1 0 4 1 0 60
23530 2 0 4 0 0 72
23530 3 0 4 1 0 72
23540 1 0 4 1 0 46
23540 2 0 4 1 0 54
23540 3 0 4 1 0 58
23550 1 0 4 0 0 78
23550 2 0 4 0 0 48
23550 3 0 4 0 0 25
23560 1 0 4 1 0 67
23560 2 0 4 0 0 67
23560 3 0 4 0 1 44
23570 1 0 4 1 0 70
23570 2 1 4 0 0 72
23570 3 0 4 0 0 72
23580 1 0 4 0 0 58
23580 2 0 4 0 0 75
23580 3 0 4 1 0 38
23590 1 1 4 0 0 33
23590 2 0 4 0 0 38
23590 3 0 4 0 0 47
23600 1 0 4 0 0 56
23600 2 0 4 0 0 58
23600 3 0 4 0 0 67
23610 1 0 4 0 0 54
23610 2 0 4 0 0 35
23610 3 0 4 0 0 25
23620 1 0 4 0 0 40
23620 2 0 4 0 0 32
23620 3 0 4 0 0 52
23630 1 0 4 0 0 78
23630 2 1 4 0 0 75
23630 3 0 4 1 0 70
23640 1 0 4 0 0 82
23640 2 0 4 0 0 82
23640 3 0 4 0 0 82
23650 1 0 5 0 0 53
23650 2 1 5 0 0 66
23650 3 0 5 0 1 55
23660 1 0 5 0 0 53
23660 2 1 5 0 0 58
23660 3 0 5 0 0 25
23670 1 0 5 0 0 64
23670 2 1 5 0 0 69
23670 3 0 5 0 0 75
23680 1 0 5 1 0 62
23680 2 1 5 0 0 70
23680 3 0 5 0 0 80
23690 1 0 5 0 0 28
23690 2 0 5 0 0 46
23690 3 0 5 0 0 48
23700 1 0 5 0 0 52
23700 2 0 5 0 0 50
23700 3 0 5 1 0 50
23710 1 0 5 0 0 58
23710 2 0 5 0 0 62
23710 3 0 5 1 0 46
23720 1 0 5 1 0 23
23720 2 0 5 0 1 25
23720 3 0 5 0 0 23
23730 1 0 5 0 0 37
23730 2 1 5 0 0 42
23730 3 0 5 0 1 45
23740 1 0 5 0 0 54
23740 2 1 5 1 0 55
23740 3 0 5 0 0 60
23750 1 0 5 0 0 55
23750 2 1 5 0 0 55
23750 3 0 5 0 0 65
23760 1 0 5 0 0 58
23760 2 0 5 0 0 77
23760 3 0 5 0 0 77
23770 1 0 5 0 0 50
23770 2 0 5 0 0 36
23770 3 0 5 0 0 40
23780 1 0 5 0 1 48
23780 2 1 5 0 1 50
23780 3 0 5 0 1 38
23790 1 0 5 0 0 24
23790 2 1 5 0 0 35
23790 3 0 5 0 0 28
23800 1 0 5 0 0 56
23800 2 1 5 0 0 58
23800 3 0 5 1 0 60
23810 1 0 5 0 0 45
23810 2 1 5 0 0 37
23810 3 0 5 0 0 53
23820 1 0 5 1 0 26
23820 2 0 5 0 1 30
23820 3 0 5 0 0 64
23830 1 0 5 0 0 40
23830 2 0 5 1 0 48
23830 3 0 5 0 0 53
23840 1 0 5 0 0 50
23840 2 1 5 0 0 60
23840 3 0 5 1 0 45
23850 1 0 5 0 0 40
23850 2 1 5 0 0 45
23850 3 0 5 0 0 50
23860 1 0 5 0 0 30
23860 2 1 5 1 0 35
23860 3 0 5 0 0 40
23870 1 0 5 1 0 36
23870 2 1 5 1 0 65
23870 3 0 5 0 1 40
23880 1 1 5 0 0 38
23880 2 0 5 0 0 31
23880 3 0 5 0 1 60
23890 1 0 5 0 1 42
23890 2 0 5 0 1 47
23890 3 0 5 0 1 47
23900 1 0 5 0 0 26
23900 2 1 5 1 1 74
23900 3 0 5 0 1 78
23910 1 0 5 0 0 30
23910 2 1 5 0 0 37
23910 3 0 5 0 0 40
23920 1 0 5 0 0 68
23920 2 0 5 0 1 65
23920 3 0 5 0 1 61
23930 1 0 5 0 1 48
23930 2 0 5 0 0 38
23930 3 0 5 1 0 38
23940 1 1 5 0 0 40
23940 2 1 5 0 0 52
23940 3 0 5 0 0 58
23950 1 0 5 0 0 70
23950 2 1 5 0 1 42
23950 3 0 5 0 0 42
23970 1 0 5 0 1 28
23970 2 1 5 0 1 50
23970 3 0 5 1 0 29
23980 1 0 5 0 0 25
23980 2 0 5 0 0 35
23980 3 0 5 0 0 39
23990 1 0 5 0 0 45
23990 2 0 5 0 0 46
23990 3 0 5 0 1 43
24000 1 0 5 0 1 48
24000 2 0 5 1 0 53
24000 3 0 5 0 1 52
24010 1 1 5 0 0 53
24010 2 1 5 0 0 62
24010 3 0 5 1 0 55
24020 1 0 5 0 1 25
24020 2 0 5 0 1 30
24020 3 0 5 0 1 38
24030 1 0 5 0 1 30
24030 2 0 5 0 1 55
24030 3 0 5 0 1 41
24040 1 0 5 0 0 70
24040 2 0 5 1 0 75
24040 3 0 5 0 0 81
24050 1 0 5 0 0 38
24050 2 0 5 0 0 42
24050 3 0 5 0 0 49
24060 1 0 5 0 1 45
24060 2 1 5 1 0 45
24060 3 0 5 0 0 60
24070 1 0 5 0 1 32
24070 2 0 5 0 0 45
24070 3 0 5 0 0 50
24080 1 0 5 0 1 25
24080 2 1 5 0 1 30
24080 3 0 5 0 0 37
24090 1 0 5 0 0 40
24090 2 0 5 0 0 60
24090 3 0 5 1 0 57
24100 1 0 5 0 0 55
24100 2 0 5 0 0 65
24100 3 0 5 0 0 30
24110 1 0 5 1 0 26
24110 2 0 5 0 1 40
24110 3 0 5 0 1 64
24120 1 0 5 0 0 35
24120 2 1 5 0 0 38
24120 3 0 5 0 0 40
24130 1 1 5 0 0 60
24130 2 0 5 0 1 60
24130 3 0 5 0 1 75
24140 1 0 5 0 0 35
24140 2 0 5 0 0 65
24140 3 0 5 0 0 63
24150 1 0 5 0 0 30
24150 2 1 5 0 0 35
24150 3 0 5 0 0 46
24160 1 0 5 0 0 27
24160 2 1 5 1 0 31
24160 3 0 5 0 0 62
24780 1 1 3 0 0 46
24780 2 1 3 0 0 40
end
label values t year

[Friedrich Huebler]

With the data in post #3 I get the same error message as you.

probit y i.v##i.x1 i.x2 x3 i.t, cl(id)
margins v, dydx(x1) pwcompare(pveffects) mcompare(bonferroni)
marginsplot, horizontal unique xline(0) recast(scatter) yscale(reverse)

_term not labeled
r(182);

I don't know if your solution to the problem is correct.