countBinnedObservations: Counter of number of observations that fall into each of a...
In vreuter/SwissR: Swiss aRmy Knife: R Utilities

Description Usage Arguments Value See Also

countBinnedObservations takes an observations vector and a vector of values that define the (inclusive) left endpoints of a series of bins that will discretize the distribution of observations.

1 2	countBinnedObservations(observations, binBounds, strictLowerBound = TRUE, pseudocount = 0)

`observations`	The observed values that come from a theoretically continuous distribution to discretize.
`binBounds`	The vector of values that defines the (inclusive) left endpoint for each bin, that collectively will discretize the hypothetically continuous distribution of observations.
`strictLowerBound`	Whether the lower bin bound is expected to be strict. That is, no observation should fall beneath it. If `TRUE` and this happens, it's an error. If `TRUE` but valid, then the returned counts distribution excludes the low ("0") bin defined by `findInterval`.
`pseudocount`	The count for any bin that contains no observations.