mm_Phenotype: Get Phenotypes
In ehrlichd/moRphomenses: Align, Scale, and Visualize "Shape" of Menstrual Cycle Hormones
mm_Phenotype R Documentation
Get Phenotypes
Description
Apply PCA and Hierarchical Clustering to infer phenotypes
Usage
mm_Phenotype(A, maxPC = 10, k = NULL)
Arguments
A
an array to be analyzed. No missing data allowed (see mm_FillMissing)
maxPC
Maximum number of PCs to use in analysis. The default (10) is entirely arbitrary. 10 may be too many shape variables to consider, or it may be far from enough.
k
The number of groups for which phenotypes will be drawn. If NULL (default) Diagnostic plots will be drawn to help gauge appropriate k
ehrlichd/moRphomenses documentation built on Nov. 19, 2023, 11:48 a.m.
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| mm_Phenotype | R Documentation |
Get Phenotypes
Description
Apply PCA and Hierarchical Clustering to infer phenotypes
Usage
mm_Phenotype(A, maxPC = 10, k = NULL)
Arguments
A |
an array to be analyzed. No missing data allowed (see |
maxPC |
Maximum number of PCs to use in analysis. The default (10) is entirely arbitrary. 10 may be too many shape variables to consider, or it may be far from enough. |
k |
The number of groups for which phenotypes will be drawn. If NULL (default) Diagnostic plots will be drawn to help gauge appropriate k |
ehrlichd/moRphomenses documentation built on Nov. 19, 2023, 11:48 a.m.
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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