proj traj plot

[zihdonv19]

Example dataset:

DATA OPPOSITN;
    INPUT ID O1-O7 T1-T7 SCOLMER SCOLPER;
    CARDS;
1000  2 0 1 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 15
1001  2 1 2 0 5 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  6
1003  4 2 0 0 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 12
1004  4 0 1 0 . . 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 13
1005  5 9 3 4 4 3 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  9
1007  8 10 2 0 1 2 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 16
1008  1 2 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  7
1009  1 0 1 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 16 20
1011  3 1 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 20
1012  4 2 2 3 6 . 6 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 12
1013  4 2 0 0 . 2 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7  7
1014  5 7 10 4 4 6 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 12
1016  4 2 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1017  7 4 3 6 3 4 5 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  6  5
1018  5 2 1 6 2 . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 11
1020  5 2 6 0 0 . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 10
1021  7 1 1 . 0 4 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 17
1022  7 3 2 1 1 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 14
1023  5 1 2 1 4 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  5  7
1024  5 4 4 0 . 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 21
1026  3 0 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 17 18
1027  6 5 9 3 2 2 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  8
1100  0 10 2 5 2 3 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  3  9
1101  5 2 0 6 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 11
1102  0 1 4 4 2 . 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1103  2 . 3 0 1 . 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1104  0 2 2 3 1 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10  7
1106  2 3 6 3 1 0 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 12
1107  2 0 2 0 2 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 12
1110  0 2 2 6 5 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 14
1113  0 0 0 0 5 1 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 11
1115  0 6 6 5 2 . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  6
1116  1 2 6 3 3 2 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  8
1117  0 2 3 1 1 3 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1119  0 0 0 6 2 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  6
1120  0 0 0 1 3 . 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1121  0 4 7 6 3 6 5 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  6
1122  0 2 5 1 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  9
1123  2 8 8 7 8 8 8 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10  8
1124  0 1 1 2 3 0 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  3  1
1125  0 9 5 2 7 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  3 11
1126  0 0 0 3 5 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 11
1127  0 . 2 7 2 2 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1200  1 3 4 0 0 2 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  9
1201  0 0 1 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 16
1202  2 6 5 0 4 1 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 12
1204  0 0 3 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 12
1205  2 4 3 6 2 5 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 12
1206  0 0 2 0 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 12
1207  0 0 0 4 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 12
1208  4 0 1 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 10
1209  3 0 2 2 0 1 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 12
1210  1 1 6 5 0 1 8 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  6  6
1211  0 0 3 1 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 10
1212  0 5 5 1 2 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8 11
1213  1 6 3 4 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 12
1214  0 0 4 3 . 3 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7  7
1216  0 1 3 0 0 1 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1217  2 6 7 2 1 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 11
1219  0 0 0 2 1 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 10
1221  1 2 3 0 . . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8  3
1222  0 0 2 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1223  0 1 0 0 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 12
1225  4 2 5 2 3 1 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7  9
1226  1 5 0 0 . 5 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8 10
1227  0 1 4 4 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 12
1300  9 8 5 8 7 4 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  5 12
1302  7 6 7 7 4 2 6 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  8
1400  0 1 0 0 0 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 15 15
1401  1 1 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 15 15
1402  0 0 0 0 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 15
1404  3 0 1 1 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1405  2 0 0 0 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 10
1406  3 0 2 3 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  7
1407  1 2 3 1 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13  6
1408  1 1 1 1 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  9
1409  2 1 2 0 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8 10
1410  3 0 1 1 0 0 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  6  2
1500  0 5 3 1 2 0 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 10
1501  1 0 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 10
1502  2 0 1 0 1 0 5 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 17 15
1504  4 . . 1 2 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 11
1505  3 6 9 4 0 5 9 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  5
1506  1 1 . 0 1 1 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 14
1600  7 3 3 2 5 0 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1601  2 . 4 0 0 1 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1602  0 1 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  6  7
1604  0 0 0 0 0 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 19
1605  2 2 4 5 3 2 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1606  5 6 2 4 1 8 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 12
1607  8 5 6 6 1 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1700  1 2 2 5 1 0 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1702  8 4 1 6 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
1704 10 1 2 3 . 1 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 12
1705  0 0 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8 12
1706  0 3 0 0 0 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 12
1708  0 0 0 0 1 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 11
1709  0 0 0 0 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10  9
1711  1 2 3 2 8 3 7 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1714  0 0 0 0 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  7
1715  1 0 1 0 0 3 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 12
1716  1 2 5 0 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 15
1717  1 1 6 6 2 1 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 15 12
1719  2 1 . 1 3 2 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 11
1720  5 3 2 0 2 2 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  6  7
1723  1 8 2 4 . 3 8 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  3  7
1724  0 0 0 1 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 10
1725  5 1 0 0 0 0 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 18
1726  7 9 3 6 . . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 14
1727  1 . 3 2 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  5  7
1728  2 0 0 0 4 1 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
1729  3 4 1 0 0 . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 11
1731  4 3 1 0 0 2 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 17
1732  0 2 2 1 0 2 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 11
1733  3 0 2 2 3 6 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  5  9
1734  1 0 0 0 0 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 10 11
1735  3 1 3 3 3 0 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  9
1737  5 0 0 2 2 3 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 10
1739  2 3 0 0 5 1 . -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  9
2000  2 1 3 1 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 11
2001  1 3 1 0 . . 2 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 12
2003  1 0 0 0 0 0 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 14 11
2005  0 2 2 . 0 3 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 11
2006  0 0 0 0 . 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11  8
2007  7 7 8 5 3 1 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 10
2008  1 0 1 0 0 4 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7  8
2009  2 2 3 0 0 2 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9 10
2010  2 0 9 1 3 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12  8
2011  0 1 0 0 0 6 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 12
2012  2 1 0 1 0 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 16
2013  1 0 0 0 0 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 15
2014  0 1 5 1 0 0 3 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  9  7
2015  2 2 3 3 0 1 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 12 11
2016  0 0 . 0 1 0 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 11
2017  4 6 6 0 0 1 4 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  8 10
2018  4 2 7 6 . . . -0.6 -0.2 -0.1 0 0.1 0.2 0.3 13 10
2019  0 8 2 1 0 3 0 -0.6 -0.2 -0.1 0 0.1 0.2 0.3 11 11
3000  3 1 5 1 6 . 1 -0.6 -0.2 -0.1 0 0.1 0.2 0.3  7 12
RUN;

Code for trajectory model and plot:

PROC TRAJ DATA=OPPOSITN OUTPLOT=OP OUTSTAT=OS OUT=OF OUTEST=OE ITDETAIL;
    ID ID; VAR O1-O7; INDEP T1-T7;
    MODEL CNORM; MAX 10; NGROUPS 3; ORDER 3 3 3;
RUN;
%TRAJPLOT(OP,OS,'Opposition vs. Scaled Age','Cnorm Model','Opposition','Scaled Age')

Does anyone know how to show trajectory line one at a time in the plot (in the above example, I should get 3 plots, one line in each plot)?

Thanks!

[SASJedi]

I had never heard of PROC TRAJ, and couldn't find it in any of the SAS online docs. Looks like it was created and is supported by the folks at Carnegie Mellon. You can find the documentation for it here: traj: group-based modeling of longitudinal data (cmu.edu)