This example demonstrates selection by using the CROSSLIST= option. Only the ticker "IBM" is specified in the KEEP statement from the 11 companies in the Fame ticker namelist.
libname lib9 sasefame "%sysget(FAME_DATA)" convert=(frequency=business technique=constant) range='07jul1997'd - '25jul1997'd crosslist=( nl(ticker), { adjust, close, high, low, open, volume, uclose, uhigh, ulow, uopen, uvolume } ); data crout; /* eleven companies in the FAME ticker namelist */ set lib9.training; keep IBM: ; run; title1 'TRAINING DB, Pricing Timeseries for Eleven Tickers in CROSSLIST='; title2 'Using TICKER namelist.'; proc print data=crout; run; proc contents data=crout; run;
Output 41.9.1 and Output 41.9.2 show the results.
Output 41.9.1: Listing of OUT=CROUT Using CROSSLIST= Option in the Fame TRAINING Data
TRAINING DB, Pricing Timeseries for Eleven Tickers in CROSSLIST= |
Using TICKER namelist. |
Obs | IBM.ADJUST | IBM.CLOSE | IBM.HIGH | IBM.LOW | IBM.OPEN | IBM.UCLOSE | IBM.UHIGH | IBM.ULOW | IBM.UOPEN | IBM.UVOLUME | IBM.VOLUME |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.5 | 47.2500 | 47.7500 | 47.0000 | 47.5000 | 94.500 | 95.500 | 94.000 | 95.000 | 129012 | 64506 |
2 | 0.5 | 47.8750 | 47.8750 | 47.2500 | 47.2500 | 95.750 | 95.750 | 94.500 | 94.500 | 102796 | 51398 |
3 | 0.5 | 48.0938 | 48.3438 | 47.6563 | 48.0000 | 96.188 | 96.688 | 95.313 | 96.000 | 177276 | 88638 |
4 | 0.5 | 47.8750 | 48.0938 | 47.0313 | 47.3438 | 95.750 | 96.188 | 94.063 | 94.688 | 127900 | 63950 |
5 | 0.5 | 47.8750 | 48.6875 | 47.8125 | 47.9063 | 95.750 | 97.375 | 95.625 | 95.813 | 137724 | 68862 |
6 | 0.5 | 47.6250 | 48.2188 | 47.0000 | 47.8125 | 95.250 | 96.438 | 94.000 | 95.625 | 128976 | 64488 |
7 | 0.5 | 48.0000 | 48.1250 | 46.6875 | 47.4375 | 96.000 | 96.250 | 93.375 | 94.875 | 149612 | 74806 |
8 | 0.5 | 48.8125 | 49.0000 | 47.6875 | 47.8750 | 97.625 | 98.000 | 95.375 | 95.750 | 215440 | 107720 |
9 | 0.5 | 49.8125 | 50.8750 | 48.5625 | 48.9063 | 99.625 | 101.750 | 97.125 | 97.813 | 315504 | 157752 |
10 | 0.5 | 52.2500 | 52.6250 | 50.0000 | 50.0000 | 104.500 | 105.250 | 100.000 | 100.000 | 463480 | 231740 |
11 | 0.5 | 51.8750 | 53.1563 | 51.0938 | 52.6250 | 103.750 | 106.313 | 102.188 | 105.250 | 328184 | 164092 |
12 | 0.5 | 51.5000 | 51.7500 | 49.6875 | 50.0313 | 103.000 | 103.500 | 99.375 | 100.063 | 368276 | 184138 |
13 | 0.5 | 52.5625 | 53.5000 | 51.5938 | 52.1875 | 105.125 | 107.000 | 103.188 | 104.375 | 219880 | 109940 |
14 | 0.5 | 53.9063 | 54.2188 | 52.2500 | 52.8125 | 107.813 | 108.438 | 104.500 | 105.625 | 204088 | 102044 |
15 | 0.5 | 53.5000 | 54.2188 | 52.8125 | 53.9688 | 107.000 | 108.438 | 105.625 | 107.938 | 146600 | 73300 |