pac_landscape: PAC Landscape Plot
In Core-Bioinformatics/ClustAssess: Tools for Assessing Clustering
pac_landscape R Documentation
PAC Landscape Plot
Description
Plot final PAC values across range of k to find optimal number
of clusters.
Usage
pac_landscape(pac_res, n_shade = max(pac_res$iteration)/5)
Arguments
pac_res
The data.frame output by consensus_cluster.
n_shade
The PAC values across the last n_shade iterations will be
shaded to illustrate the how stable the PAC score is.
Value
A ggplot2 object with the final PAC vs k plot. A local minimum in the
landscape indicates an especially stable value of k.
Examples
pac.res <- consensus_cluster(iris[, 1:4], k_max = 20)
pac_landscape(pac.res)
Core-Bioinformatics/ClustAssess documentation built on Nov. 14, 2024, 6:33 p.m.
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| pac_landscape | R Documentation |
PAC Landscape Plot
Description
Plot final PAC values across range of k to find optimal number of clusters.
Usage
pac_landscape(pac_res, n_shade = max(pac_res$iteration)/5)
Arguments
pac_res |
The data.frame output by consensus_cluster. |
n_shade |
The PAC values across the last n_shade iterations will be shaded to illustrate the how stable the PAC score is. |
Value
A ggplot2 object with the final PAC vs k plot. A local minimum in the landscape indicates an especially stable value of k.
Examples
pac.res <- consensus_cluster(iris[, 1:4], k_max = 20)
pac_landscape(pac.res)
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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