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The SASEFAME Interface Engine

Example 36.3 Writing Time Series to the SAS Data Set

The following statements use the DROP statement to exclude certain time series from the SAS data set. (You can also use the KEEP statement to include certain series in the SAS data set.)

options validvarname=any;

%let FAME=%sysget(FAME);
%put(&FAME);
%let FAMETEMP=%sysget(FAME_TEMP);
%put(&FAMETEMP);

libname famedir sasefame "%sysget(FAME_DATA)"
        convert=(freq=annual technique=constant);

libname mydir "%sysget(FAME_TEMP)";

data mydir.a;  /* add data set to mydir */
   set famedir.oecd1;
   drop 'ita.dirdes'n--'jpn.herd'n 'tur.dirdes'n--'usa.herd'n;
   where date between '01jan88'd and '31dec93'd;
run;

title1 "OECD1: TECH=Constant, FREQ=Annual";
title2 "Drop Using N-literals";

proc print data=mydir.a;
run;

Output 36.3.1 shows the results.

Output 36.3.1 Listing of OUT=MYDIR.A of the OECD1 Fame Data
OECD1: TECH=Constant, FREQ=Annual
Drop Using N-literals

Obs DATE AUS.DIRDES AUS.HERD AUT.DIRDES AUT.HERD BEL.DIRDES BEL.HERD CAN.DIRDES CAN.HERD CHE.DIRDES CHE.HERD DEU.DIRDES DEU.HERD DNK.DIRDES DNK.HERD ESP.DIRDES ESP.HERD FIN.DIRDES FIN.HERD FRA.DIRDES FRA.HERD GBR.DIRDES GBR.HERD GRC.DIRDES GRC.HERD IRL.DIRDES IRL.HERD ISL.DIRDES ISL.HERD NLD.DIRDES NLD.HERD NOR.DIRDES NOR.HERD NZL.DIRDES NZL.HERD PRT.DIRDES PRT.HERD SWE.DIRDES SWE.HERD YUG.DIRDES YUG.HERD
1 1988 750 1072.90 . . 374 16572.70 1589.60 2006 632.100 1532 3538.60 8780.00 258.100 2662 508.200 55365.5 247.700 1602.0 2573.50 19272.00 2627.00 1592.00 60.600 6674.50 49.6000 37.0730 . . 883 2105 . . . . 111.5 10158.20 . . 233.000 29.81
2 1989 . . . . . 18310.70 1737.00 2214 . 1648 3777.20 9226.60 284.800 2951 623.600 69270.5 259.700 1725.5 2856.50 21347.80 2844.10 1774.20 119.800 14485.20 50.2000 39.0130 10.3000 786.762 945 2202 308.900 2771.40 78.7000 143.800 . . 1076 11104 205.100 375.22
3 1990 . . . . . 18874.20 1859.20 2347 . . 2953.30 9700.00 . . 723.600 78848.0 271.000 1839.0 3005.20 22240.00 . . . . 51.7000 . 11.0000 902.498 . . . . . . . . . . . 2588.50
4 1991 . . . . . . 1959.60 2488 . . . . . . . 89908.0 . . . . . . . . . . 11.8000 990.865 . . 352.000 3100.00 . . . . . . . .

Note that the SAS option VALIDVARNAME=ANY was used at the beginning of this example because special characters are present in the time series names. SAS variables that contain certain special characters are called n-literals and are referenced in SAS code as shown in this example.

You can rename your SAS variables by using the RENAME statement. The following statements show how to use n-literals when selecting variables you want to keep, and how to rename some of your kept variables:

options validvarname=any;

%let FAME=%sysget(FAME);
%put(&FAME);
%let FAMETEMP=%sysget(FAME_TEMP);
%put(&FAMETEMP);

libname famedir sasefame "%sysget(FAME_DATA)"
        convert=(freq=annual technique=constant);

libname mydir "%sysget(FAME_TEMP)";

data mydir.a;  /* add data set to mydir */
   set famedir.oecd1;
   /* keep and rename  */
   keep date 'ita.dirdes'n--'jpn.herd'n 'tur.dirdes'n--'usa.herd'n;
   rename 'ita.dirdes'n='italy.dirdes'n
          'jpn.dirdes'n='japan.dirdes'n
          'tur.dirdes'n='turkey.dirdes'n
          'usa.dirdes'n='united.states.of.america.dirdes'n ;
run;

title1 "OECD1: TECH=Constant, FREQ=Annual";
title2 "keep statement using n-literals";
title3 "rename statement using n-literals";

proc print data=mydir.a;
run;

Output 36.3.2 shows the results.

Output 36.3.2 Listing of OUT=MYDIR.A of the OECD1 Fame Data
OECD1: TECH=Constant, FREQ=Annual
keep statement using n-literals
rename statement using n-literals

Obs DATE italy.dirdes ITA.HERD japan.dirdes JPN.HERD turkey.dirdes TUR.HERD united.states.of.america.dirdes USA.HERD
1 1985 1344.90 1751008 8065.70 1789780 144.800 22196 14786.00 14786.00
2 1986 1460.60 2004453 8290.10 1832575 136.400 26957 16566.90 16566.90
3 1987 1674.40 2362102 9120.80 1957921 121.900 32309 18326.10 18326.10
4 1988 1861.50 2699927 9657.20 2014073 174.400 74474 20246.20 20246.20
5 1989 1968.00 2923504 10405.90 2129372 212.300 143951 22159.50 22159.50
6 1990 2075.00 3183071 . 2296992 . . 23556.10 23556.10
7 1991 2137.80 3374000 . . . . 24953.80 24953.80

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