loading_vis: loading_vis
In LewisLabUCSD/RegressionModelPipeline: Pipeline for feature selection, interaction assessment, regression modeling and prediction assessment for 1-1000s of features
Description
Usage
Arguments
Value
Description
Visualize loadings of a PCA
Usage
1
loading_vis(res.pca, var_catgories = NULL)
Arguments
res.pca
a "prcomp" class object produced by PCA using prcomp
var_catgories
an optional vector of categories into which each variable can be classified
Value
a ggplot2 object showing the loadings of the
LewisLabUCSD/RegressionModelPipeline documentation built on Jan. 11, 2021, 10:33 p.m.
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Description Usage Arguments Value
Description
Visualize loadings of a PCA
Usage
1 | loading_vis(res.pca, var_catgories = NULL)
|
Arguments
res.pca |
a "prcomp" class object produced by PCA using prcomp |
var_catgories |
an optional vector of categories into which each variable can be classified |
Value
a ggplot2 object showing the loadings of the
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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