cluster: cluster
In lch14forever/BEEM-static: An EM-like algorithm for biomass and microbiome model inference from cross sectional microbial profiling data
Description
Usage
Arguments
Author(s)
Description
perform a hierachical clustering analysis using Bray-Curtis distance
Usage
1
cluster(countData)
Arguments
countData
OTU/species abundance table (each row is one species, each column is one site)
Author(s)
Chenhao Li, Niranjan Nagarajan
lch14forever/BEEM-static documentation built on Sept. 5, 2021, 11:31 p.m.
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Description Usage Arguments Author(s)
Description
perform a hierachical clustering analysis using Bray-Curtis distance
Usage
1 | cluster(countData)
|
Arguments
countData |
OTU/species abundance table (each row is one species, each column is one site) |
Author(s)
Chenhao Li, Niranjan Nagarajan
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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