calcCoverage {alakazam} | R Documentation |
Calculate sample coverage
Description
calcCoverage
calculates the sample coverage estimate, a measure of sample
completeness, for varying orders using the method of Chao et al, 2015, falling back
to the Chao1 method in the first order case.
Usage
calcCoverage(x, r = 1)
Arguments
x |
numeric vector of abundance counts. |
r |
coverage order to calculate. |
Value
The sample coverage of the given order r
.
References
Chao A. Nonparametric Estimation of the Number of Classes in a Population. Scand J Stat. 1984 11, 265270.
Chao A, et al. Unveiling the species-rank abundance distribution by generalizing the Good-Turing sample coverage theory. Ecology. 2015 96, 11891201.
See Also
Used by alphaDiversity.
Examples
# Calculate clone sizes
clones <- countClones(ExampleDb, groups="sample_id")
# Calculate 1first order coverage for a single sample
calcCoverage(clones$seq_count[clones$sample_id == "+7d"])
[Package alakazam version 1.3.0 Index]