otuByAutocorr: Selects OTUs for which MCMC-based parameter estimates are...
In MCMC.OTU: Bayesian Analysis of Multivariate Counts Data in DNA Metabarcoding and Ecology
Description
Usage
Arguments
Value
Author(s)
References
View source: R/otuByAutocorr.R
Description
Looks at autocorrelation among sampled parameter values.
Usage
1
otuByAutocorr(model, data, ac.cut=0.1)
Arguments
model
Model generated by mcmc.otu()
data
Dataset used to fit the model
ac.cut
Autocorrelation cutoff
Value
Vector of OTU names for which autocorrelation is less than ac.cut argument.
Author(s)
Mikhail V. Matz, University of Texas at Austin
<matz@utexas.edu>
References
Elizabeth A. Green, Sarah W. Davies, Mikhail V. Matz, Monica Medina Next-generation sequencing reveals cryptic Symbiodinium diversity within Orbicella faveolata and Orbicella franksi at the Flower Garden Banks, Gulf of Mexico. PeerJ 2014 https://peerj.com/preprints/246/
MCMC.OTU documentation built on May 1, 2019, 10:55 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/otuByAutocorr.R
Description
Looks at autocorrelation among sampled parameter values.
Usage
1 | otuByAutocorr(model, data, ac.cut=0.1)
|
Arguments
model |
Model generated by mcmc.otu() |
data |
Dataset used to fit the model |
ac.cut |
Autocorrelation cutoff |
Value
Vector of OTU names for which autocorrelation is less than ac.cut argument.
Author(s)
Mikhail V. Matz, University of Texas at Austin <matz@utexas.edu>
References
Elizabeth A. Green, Sarah W. Davies, Mikhail V. Matz, Monica Medina Next-generation sequencing reveals cryptic Symbiodinium diversity within Orbicella faveolata and Orbicella franksi at the Flower Garden Banks, Gulf of Mexico. PeerJ 2014 https://peerj.com/preprints/246/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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