pac_convergence: PAC Convergence Plot
In Core-Bioinformatics/ClustAssess: Tools for Assessing Clustering
pac_convergence R Documentation
PAC Convergence Plot
Description
Plot PAC across iterations for a set of k to assess convergence.
Usage
pac_convergence(pac_res, k_plot)
Arguments
pac_res
The data.frame output by consensus_cluster.
k_plot
A vector with values of k to plot.
Value
A ggplot2 object with the convergence plot. Convergence has been
reached when the lines flatten out across k_plot values.
out across
Examples
pac.res <- consensus_cluster(iris[, 1:4], k_max = 20)
pac_convergence(pac.res, k_plot = c(3, 5, 7, 9))
Core-Bioinformatics/ClustAssess documentation built on Nov. 14, 2024, 6:33 p.m.
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| pac_convergence | R Documentation |
PAC Convergence Plot
Description
Plot PAC across iterations for a set of k to assess convergence.
Usage
pac_convergence(pac_res, k_plot)
Arguments
pac_res |
The data.frame output by consensus_cluster. |
k_plot |
A vector with values of k to plot. |
Value
A ggplot2 object with the convergence plot. Convergence has been reached when the lines flatten out across k_plot values. out across
Examples
pac.res <- consensus_cluster(iris[, 1:4], k_max = 20)
pac_convergence(pac.res, k_plot = c(3, 5, 7, 9))
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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