prevalence: OTU Prevalence

Description Usage Arguments Details Value Author(s) References Examples

View source: R/prevalence.R

Description

Simple prevalence measure.

Usage

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prevalence(
  x,
  detection = 0,
  sort = FALSE,
  count = FALSE,
  include.lowest = FALSE
)

Arguments

x

A vector, data matrix or phyloseq object

detection

Detection threshold for absence/presence (strictly greater by default).

sort

Sort the groups by prevalence

count

Logical. Indicate prevalence as fraction of samples (in percentage [0, 1]; default); or in absolute counts indicating the number of samples where the OTU is detected (strictly) above the given abundance threshold.

include.lowest

Include the lower boundary of the detection and prevalence cutoffs. FALSE by default.

Details

For vectors, calculates the fraction (count=FALSE) or number (count=TRUE) of samples that exceed the detection. For matrices, calculates this for each matrix column. For phyloseq objects, calculates this for each OTU. The relative prevalence (count=FALSE) is simply the absolute prevalence (count=TRUE) divided by the number of samples.

Value

For each OTU, the fraction of samples where a given OTU is detected. The output is readily given as a percentage.

Author(s)

Contact: Leo Lahti microbiome-admin@googlegroups.com

References

A Salonen et al. The adult intestinal core microbiota is determined by analysis depth and health status. Clinical Microbiology and Infection 18(S4):16 20, 2012. To cite the microbiome R package, see citation('microbiome')

Examples

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data(peerj32)     
pr <- prevalence(peerj32$phyloseq, detection=0, sort=TRUE, count=TRUE)

microbiome documentation built on Nov. 8, 2020, 5:08 p.m.