I have a data frame that is 122 columns and 70000ish rows it is a zoo
object, but could be easily converted or read in as something else. It is
multiparameter multistation water quality data - there are a lot of NA s. I
would like to find "chuncks" of data that are free of NA s to do some
analysis. All of the data is numeric. Is there a way besides graphing to
find these NA less "chuncks". I did not include data because of the size of
the data frame, and because I don't know exactly how to tackle this
problem. I will send a subset of the data to the list if requested and when
I get to work. As for reproducible code I am not entirly sure how to go
about this, so that too is missing.
Sorry for breaking the rules this early in the morning,
Stephen
--
Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make us
feel like gods. We are mammals, and have not exhausted the annoying little
problems of being mammals.
-K. Mullis
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