pm_cluster: Pangenome agglomerative hierarchical clustering based on...
In ampatzia/pasaR: Pangenome Statistical Analysis for R
Description
Usage
Arguments
Examples
Description
This function performs agglomerative hierarchical clustering based on fluidity results
Usage
1
pm_cluster(fluidity_list, method = "ward.D", genome_names)
Arguments
fluidity_list
data produced from pm_fluidity_all
method
method of clustering as used in stats::hclust()
genome_names
optional file to label genomes as outputed by organism_names() and similar functions
Examples
1
## Not run: pm_cluster(fluidity_result,"ward.D",genome_names)
ampatzia/pasaR documentation built on May 12, 2019, 2:37 a.m.
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Description Usage Arguments Examples
Description
This function performs agglomerative hierarchical clustering based on fluidity results
Usage
1 | pm_cluster(fluidity_list, method = "ward.D", genome_names)
|
Arguments
fluidity_list |
data produced from pm_fluidity_all |
method |
method of clustering as used in stats::hclust() |
genome_names |
optional file to label genomes as outputed by organism_names() and similar functions |
Examples
1 | ## Not run: pm_cluster(fluidity_result,"ward.D",genome_names)
|
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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