braycurtis: Paired or longitudinal Bray-Curtis distances
In aplantin/pldist: Paired and Longitudinal Ecological Dissimilarities
Description
Usage
Arguments
Value
View source: R/pl_braycurtis.R
Description
The distances are calculated as follows, where d_k^X is the within-subject
measure of change appropriate to the setting (paired/longitudinal and
quantitative/qualitative), as described in the full package documentation
and vignette.
D_{AB} = (1/m) * ∑_k |d_k^A - d_k^B|
Usage
1
braycurtis(tsf.data, binary)
Arguments
tsf.data
Transformed OTU table and metadata (from function pl.transform)
binary
Logical indicating whether to use the binary version of the distance
Value
Returns an n x n distance matrix.
aplantin/pldist documentation built on Feb. 26, 2021, 2:19 p.m.
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Description Usage Arguments Value
View source: R/pl_braycurtis.R
Description
The distances are calculated as follows, where d_k^X is the within-subject measure of change appropriate to the setting (paired/longitudinal and quantitative/qualitative), as described in the full package documentation and vignette. D_{AB} = (1/m) * ∑_k |d_k^A - d_k^B|
Usage
1 | braycurtis(tsf.data, binary)
|
Arguments
tsf.data |
Transformed OTU table and metadata (from function pl.transform) |
binary |
Logical indicating whether to use the binary version of the distance |
Value
Returns an n x n distance matrix.
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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