find.tol: An internal function that is not supposed to be directly...
In yufree/apLCMS: Adaptive processing of LC-MS data

Description Usage Arguments Details Value Author(s) Examples

The function finds the tolerance level in m/z from a given vector of observed m/z values.

1	find.tol(a, uppermost=1e-4, aver.bin.size=4000, min.bins=50, max.bins=200)

`a`	The vector of observed m/z values.
`uppermost`	Consider only m/z diffs smaller than this value.
`aver.bin.size`	The average bin size to determine the number of equally spaced points in the kernel density estimation.
`min.bins`	the minimum number of bins to use in the kernel density estimation. It overrides aver.bin.size when too few observations are present.
`max.bins`	the maximum number of bins to use in the kernel density estimation. It overrides aver.bin.size when too many observations are present.

The method assumes a mixture model: an unknown distribution of m/z variations in the same peak, and an exponential distribution of between-peak diffs. The parameter of the exponential distribution is estimated by the upper 75

The tolerance level is returned.

Tianwei Yu <tyu8@emory.edu>