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Here is the Splus output of hist(dat("ldiag")) for that period.  $breaks are the boundaries of each 'bar' or 'class' of the histogram and $counts are the number of occurrences in each class.  For example, there are 16 occurrences of the 5-minute average of ldiag falling between 0.0002 and 0.0004.   Note that one occurrence in a 5-minute average is 1/(300 sec*20 samples/sec) = 0.0001666..., so the first histogram class between 0 and 0.0002 includes both zero and 1 occurrence in 5 minutes.

$breaks:

Wiki Markup \ [1\] 0.0000 0.0002 0.0004 0.0006 0.0008 0.0010 0.0012 0.0014 0.0016 0.0018unmigrated-wiki-markup

\[11\] 0.0020 0.0022 0.0024 0.0026 0.0028 0.0030

$counts: Wiki Markup

 \ [1\] 1875   16    2   10    7    2    1    1    1    1    1    0    1    0    1  16    2   10    7    2    1    1    1    1    1    0    1    0    1

The frequency of occurrence of non-zero diagbits is 0.002% of the data, calculated as

Wiki Markupsum(counts*breaks\[-length(breaks)\])/sum(counts)  

after increasing the number of classes in the histogram from 15 to 100 to improve the accuracy.