BookmarkSubscribeRSS Feed
zihdonv19
Quartz | Level 8

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!

1 REPLY 1
SASJedi
Ammonite | Level 13

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)

Check out my Jedi SAS Tricks for SAS Users

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 796 views
  • 0 likes
  • 2 in conversation