pca.ab.data.Me: A superfunction to estimate correlations and relationships...
In hughesevoanth/iPVs: Identification of principal variables and an estimate of the number of variables in a data set.
View source: R/pca.ab.data.Me.R
pca.ab.data.Me R Documentation
A superfunction to estimate correlations and relationships among variables in a data set.
Description
This function estimates a Spearman's correlation matrix, an abs(distance matrix), a hclust tree, a PCA from the correlation matrix, and numerous estimates of the effective number of variables in a data set (Me)
Usage
pca.ab.data.Me(wdata)
Arguments
variabledata
a vector of class categorical, for all elements tested, identifying a category | or bin | box that each element belong to
Examples
pca.ab.data.Me()
hughesevoanth/iPVs documentation built on July 26, 2023, 3:21 p.m.
R Package Documentation
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View source: R/pca.ab.data.Me.R
| pca.ab.data.Me | R Documentation |
A superfunction to estimate correlations and relationships among variables in a data set.
Description
This function estimates a Spearman's correlation matrix, an abs(distance matrix), a hclust tree, a PCA from the correlation matrix, and numerous estimates of the effective number of variables in a data set (Me)
Usage
pca.ab.data.Me(wdata)
Arguments
variabledata |
a vector of class categorical, for all elements tested, identifying a category | or bin | box that each element belong to |
Examples
pca.ab.data.Me()
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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