Hye Guys,
for those regularly browsing this site sorry for already another question (however I did solve my last question myself!)
I have another problem with merging datasets, it seems that accounting for time in datasets is a real pain in the ass. I succesfully managed to merge on months in my previous datasets, however it seems I have a final dataset which only has quarter as a time count variable. So where all my normal data开发者_Go百科bases have month 1- xxx as an indicator of time, this database had quarter as an indicator of time.
I still want to add the variables of this last database, let's call it TVOL, into my WORK database.
Quick summary
QUARTER: Quarter 0 = JAN1996-MAR1996
Month: Month 0 = JAN1996
Example: TVOL
TVOL _______ Ticker __________ Quarter
1500 _______ AA ________________ -1
52546 _______ BB ________________ 15
Example: WORK
BETA _______ Ticker __________ Month
1.52 _______ AA ________________ 2
1.54_______ BB ________________ 3
Example: Merged:
BETA _______________ TVOL _______ Ticker __________ Month
1.52 ________________ 500 _________ AA ________________ 2
I now want to merge this 2 tables using following relationship
if the month is in quarter 1, the data of quarter 0 has to be used, so if i have an observation i nWORK with date 2FEB1996 the TVOL of quarter -1 has to be put behind this observation.
Something like IF month = quarter i use data quarter i-1.
Also, as TVOL is measured quarterly and I have to put in monthly I have to take the average, so (TVOL/3) should be added as a variable.
Thanks!
Ok, so I solved my problem!
data test;
set test;
Quarter=intck('qtr','01apr96'd,recdats);
put _all_;
run;
proc sort data=test;
by ticker quarter;
run;
proc sort data=wtvol;
by ticker quarter;
run;
data test;
merge test(in=a) wtvol(in=b);
by ticker quarter;
frommerg=a;
fromwtvol=b;
run;
data test;
set test;
if frommerg=0 then delete;
run;
data test;
set test;
if fromwtvol = 0 then delete;
run;
data test;
set test;
drop frommerg fromwtvol;
run;
I created a quarter variable in my base dataset and merged the 2 sets based on quarter and ticker.
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