Hi all!
Programs which acted on arrays containing missing data would need
definitions which accounted for this missing data. Take a look at R. I
think most languages have ways of handling missing data, even if
calculations do not always work directly on arrays containing missing
data, like they do in R.
We could possibly have arrays of floats containing missing data without
being able to do all our calculations on these arrays? We already have
arrays of floats containing NaN, infinity and negative infinity? Would
it be possible to have some of these NaN floats signal missing data?
Could arrays with such NaN floats be used in some calculations which
accounted for this missing data?
Typically when you create report programs, you take care of missing
data? The user might fill a form, he does not answer to some questions,
the mean value of an answer for all users is the mean of the values
filled, but how many and how big percentage are not filled is an
important part of the result?
Cheers,
Erling
Den 2017-09-20 kl. 16:40, skrev Henry Rich:
If a list (a) can contain 'missing' entries, what does (# a) mean? What
happens to
mean =: +/ % #
?
How is u/\. a defined?
Henry Rich
On Wed, Sep 20, 2017 at 10:25 AM, Erling Hellenäs <[email protected]>
wrote:
Because you possibly have an array where some cells have missing data and
you want to run your functions directly against this array without caring
about the possibly missing data. Thats how I think R works. All functions
work with cells where the data is missing. Correct me if I'm wrong. R might
become the mostly used tool for statistics any day. It might well be worth
the effort to look at their solutions if you ask me. /Erling
Den 2017-09-20 kl. 12:27, skrev Raul Miller:
Why not just use another number? Many more bits that way...
Thanks,
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