Date: Fri, 30 Jun 2006 17:19:44 -0400
Reply-To: Kitty Lee <lee.kitty@YAHOO.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Kitty Lee <lee.kitty@YAHOO.COM>
Subject: Re: Merge fails to pick up ID?
Yes, there're identical caseid. In fact my dataset B was initially extracted
from dataset A. I did some fancy statistical calculation in R and am now
trying to bring the results back to my original dataset A. So the caseids
On Fri, 30 Jun 2006 14:00:04 -0700, Ken Moody <kmoody_chc@YAHOO.COM> wrote:
> In cases like this you want to be able to demonstrate exactly how the
process is failing. One way to do that is to print enough of each data set
to show that there are values of CaseID that are identical and should have
resulted in a single row in your output table. Or, if you can't find any
identical keys you will know why the size of the output is the sum of the
input tables. I'm guessing that you will find that the values of CaseID in
data set A have leading zeros, and the values that you constructed in data
set B do not, so they didn't match.
>Kitty Lee <lee.kitty@YAHOO.COM> wrote: Hi. I have a funny situation.I have
two dataset A and B and I need to
>perform a simple merge by CaseID.
>I did a proc contents of data A. The Caseid variable has this format
>CASEID Char 24 $24. $24. CASEID
>My dataset B originally has Caseid as a numeric. I did this to change the
>data newB (keep=caseid raw estmm);
>I checked the proc contents of the new dataset newB:
># Variable Type Len Format Informat
>1 caseid Char 24
>Then I tried to merge the two datasets.
>data joinAB; merge A newB; by caseid; run;
>But the merge failed. Essentially the two datasets were stacked up
>instead---Dataset A has 1000 cases and Dataset newB has 300 cases. The
>dataset after merge has 1300 cases.
>Somehow the program thinks the caseids are different. How come?
>Do you Yahoo!?
> Everyone is raving about the all-new Yahoo! Mail Beta.