LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (April 2002, week 2)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Tue, 9 Apr 2002 13:11:01 -0700
Reply-To:     Cassell.David@EPAMAIL.EPA.GOV
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         "David L. Cassell" <Cassell.David@EPAMAIL.EPA.GOV>
Subject:      Re: Are You a SAS Expert Test?
Content-type: text/plain; charset=us-ascii

SAS Master Ian wrote [in small part]: > I am always interested in the why, so why can so many things go wrong in a > SAS merge? Perhaps it because the code is so simple, or rather so simple in > comparison to what it does.

Or perhaps it is because so many things can go wrong under any circumstances, when we use a programming language to manipulate data which may [or may not] be what we expected. Consider the following code:

z = x + y/w;

Now list 25 things that can go wrong here. You can apply a lot of Roger DeAngelis' "43 Things That Can Go Wrong In A Merge" list here too. If x, y, and z come from different data sets, then all the complexities of merging/modifying/updating apply here too. And don't forget all the issues of roundoff error, division by zero, numerical instability, loss of precision, _et_cetera_ ...

Perhaps the moral is that what we do is not anywhere near as simple as we like to think. After all, if this sort of programming were really so simple, why would anyone ever buy a programming book with the word "Dummies" in the title? :-)

David -- David Cassell, CSC Cassell.David@epa.gov Senior computing specialist mathematical statistician


Back to: Top of message | Previous page | Main SAS-L page