PlotClustering: Plot posterior probability of pairwise classification based...
In boyuren158/DirFactor: Dependent Dirichlet processes factor model for nonparametric ordination fo microbiome data
Description
Usage
Arguments
Value
Description
Plot posterior probability of pairwise classification based on posterior
samples of pairwise distances between biological samples.
Usage
1
PlotClustering(all.dist, labels)
Arguments
all.dist
A list contains posterior samples of pairwise distances
between biological samples. Each element is a distance matrix.
labels
A character vector indicates the label for each biological
sample.
Value
A ggplot figure object. It illustrates the posterior probability
of two biological samples being clustered together. The rows and columns
are sorted by labels of biological samples.
boyuren158/DirFactor documentation built on May 13, 2019, 1:38 a.m.
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Description Usage Arguments Value
Description
Plot posterior probability of pairwise classification based on posterior samples of pairwise distances between biological samples.
Usage
1 | PlotClustering(all.dist, labels)
|
Arguments
all.dist |
A list contains posterior samples of pairwise distances between biological samples. Each element is a distance matrix. |
labels |
A character vector indicates the label for each biological sample. |
Value
A ggplot figure object. It illustrates the posterior probability of two biological samples being clustered together. The rows and columns are sorted by labels of biological samples.
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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