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Statistical computations for visualisation

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_From @rpruim on July 26, 2016 12:40_ Traditionally (i.e., in `hist()`) one must choose between left-leaning and right-leaning binning with `right = FALSE` or `right = TRUE`. A more balanced...

To support computation in other backends. (But it's possible that's might be better in another package)

Consider using t-digest for calculating streaming quantiles: https://github.com/tdunning/t-digest contains java source and a paper describing the algorithm. there are also implementations in other languages noted in the above repo. I...

e.g. `interval_regular`, `interval`, `rect`, `hex`

- Should it round up so it's always an exact bin? - Unit tests

Need good strategy for picking bin width. Do you have any existing code @rprium?

Following strategy in ggplot2. Will no longer need to pass `right_closed` ``` R # Strategy adapted from base::hist() diddle

e.g. https://rhettinger.wordpress.com/tag/running-median/