validationPlot: Plots to decide number of clusters
In daniellyz/MetICA2: Independent component analysis for high-resolution mass-spectrometry based metabolomics
Description
Usage
Arguments
Value
Description
The function generates multiple plots that help users to decide number of clusters or MetICA components.
Usage
1
validationPlot(M1, cluster_index = T)
Arguments
M1
The entire list object generated from the function MetICA(X, pcs = 15...)
cluster_index
Boolean object. TRUE if geometric indices for clusterinig quality needs to be calculted. The calculation provides an additional criterion for cluster number selection but can be time-consuming.
Value
Return an overall graph with multiple plots. If cluster_index = TRUE, also return a list object containing clustering quality score.
daniellyz/MetICA2 documentation built on May 16, 2019, 11:11 p.m.
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Description Usage Arguments Value
Description
The function generates multiple plots that help users to decide number of clusters or MetICA components.
Usage
1 | validationPlot(M1, cluster_index = T)
|
Arguments
M1 |
The entire list object generated from the function MetICA(X, pcs = 15...) |
cluster_index |
Boolean object. TRUE if geometric indices for clusterinig quality needs to be calculted. The calculation provides an additional criterion for cluster number selection but can be time-consuming. |
Value
Return an overall graph with multiple plots. If cluster_index = TRUE, also return a list object containing clustering quality score.
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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