getEsts: Complexity estimation for ATACseq libraries.

Description Usage Arguments Details Value

View source: R/getEsts.R

Description

Estimate the complexity of a library or sample based on unique fragments using Daley and Smith's implementation of Good-Toulmin rational function approximation to solve the missing species problem.

Usage

1
getEsts(xx, withCI = FALSE, ...)

Arguments

xx

The fragments or sample of fragments

withCI

Have preseq compute 95 percent confidence intervals for plots?

...

Other arguments to pass on to preseqR

Details

Original functions in preseqR v2.0.1.1 for this were: preseqR.rfa.curve and preseqR.rfa.species.accum.curve

The new functions as of the version 4.0.0 are:

ds.rSAC == preseqR.rfa.curve ds.rSAC.bootstrap == preseqR.rfa.species.accum.curve

The new functions return generators that can have data passed to them instead of returning a data frame as in version 2.0.1.1.

Value

1
   A data frame with results

biobenkj/ATACseeker documentation built on May 7, 2019, 8:36 a.m.