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I am looking for some advice on the use of NULL and NA in my data set. Very specifically, I have fishery data from independent observers. The data consists of patrol information with variables such as patrol_distance, patrol_time, etc, and fishing information with variables such as angler_count, fish_count, etc. My question is: what do I assign to cases where no anglers were counted, NULL or NA. I will need to do computational summaries on these variables and later export to a database (MS Access).

I have already done some reading on the use of NULL and NA, but just require clarification.

Bernhard Barker
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jademaggs
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    See @agstudy's answer [What is the difference between NaN and Inf, and NULL and NA in R?](http://stackoverflow.com/questions/15496361/what-is-the-difference-between-nan-and-inf-and-null-and-na-in-r). I usually stick with `NA` for missing value. – zx8754 Mar 10 '14 at 15:14

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