pca_correlation_plot: PCA correlation plot
In structToolbox: Data processing & analysis tools for Metabolomics and other omics
Description
Usage
Arguments
Value
Examples
Description
A plot of the correlation between the variables/features and the selected principal component scores. Features with high correlation are well represented by the selected component(s)
Usage
1
pca_correlation_plot(components = c(1, 2), ...)
Arguments
components
(numeric) The Principal Components used to generate the plot. The default is c(1, 2).
...
Additional slots and values passed to struct_class.
Value
A pca_correlation_plot object.
Examples
1
structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.
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Description Usage Arguments Value Examples
Description
A plot of the correlation between the variables/features and the selected principal component scores. Features with high correlation are well represented by the selected component(s)
Usage
1 | pca_correlation_plot(components = c(1, 2), ...)
|
Arguments
components |
(numeric) The Principal Components used to generate the plot. The default is |
... |
Additional slots and values passed to |
Value
A pca_correlation_plot object.
Examples
1 |
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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