Hi all!
I made a mistake when trying to get an error obviously caused by a
platform exception.
Databases are full of fields without data. Doesn't R handle this in a
good way?
What is your proposed way of handling this missing data?
You consider NaNs, positive and negative infinity as unknown values too?
Would you prefer an error instead of getting these? Or you just look for
them in the tests and make sure they never happen in production?
/Erling
Den 2017-09-21 kl. 14:41, skrev Don Guinn:
Did you mean?
1/0
|domain error
| 1 /0
|[-0]
1%0
_
What made me think of sparse arrays is that it does much of the leg work to
identify some number, like zero, to remove. It keeps an index list of
elements not removed and has tools to extract only those elements not
removed. It's really not what sparse ($.) is intended for, but I thought it
might be useful in this case.
In my thinking, unknown values should never be put in an array. Having them
in an array leads to so many problems, only a few have been mentioned in
this thread.
If "unknown values" are generated as part of the computation then it seems
to me it is time to go back and look at the problem analysis.
----------------------------------------------------------------------
For information about J forums see http://www.jsoftware.com/forums.htm
----------------------------------------------------------------------
For information about J forums see http://www.jsoftware.com/forums.htm
