srs_p: srs_p
In jfq3/QsRutils: R Functions Useful for Community Ecology
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Normalize sample counts using scaling with ranked subsampling (SRS)
Usage
1
srs_p(p)
Arguments
p
a phyloseq object containing an OTU table
Details
This is an alternative to "rarefying" an OTU table to a constant sample size. The phyloseq object submitted must be pruned to the desired sample size before uisng this function.
Value
a phyloseq object including an OTU table, all sample sums equal.
Author(s)
John Quensen
References
Beule L, Karlovsky P. Improved normalization of species count data in ecology by scaling with ranked subsampling (SRS): application to microbial communities. PeerJ. 2020;8:e9593.
jfq3/QsRutils documentation built on Jan. 18, 2021, 12:40 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
Normalize sample counts using scaling with ranked subsampling (SRS)
Usage
1 | srs_p(p)
|
Arguments
p |
a phyloseq object containing an OTU table |
Details
This is an alternative to "rarefying" an OTU table to a constant sample size. The phyloseq object submitted must be pruned to the desired sample size before uisng this function.
Value
a phyloseq object including an OTU table, all sample sums equal.
Author(s)
John Quensen
References
Beule L, Karlovsky P. Improved normalization of species count data in ecology by scaling with ranked subsampling (SRS): application to microbial communities. PeerJ. 2020;8:e9593.
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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