I have some data where the frequency is heavily weighted on the lower end.
So I have lots of low values with very few higher values. I would like to
find breakpoints that cover the data with as much detail as possible. I find
that if I use hist() to automatically find the breaks for me it finds breaks
that are too coarse for the low values. I have tried the other algorithms
(like 'Scott' and 'FD') but I have been unable to get it to work for me. I
think I need breaks based on the inverse logarithm of the frequency so that
the low values which have a high frequency are more or less evenly
distributed about like the lower frequency high values. Is there a function
to find the breaks like this?
Thank you.
Kevin
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