plot_pca_variance: Plot variance explained by PCA components
In mrc-ide/MIPanalyzer: Filtering and analysis of MIP data
View source: R/analysis_clustering.R
plot_pca_variance R Documentation
Plot variance explained by PCA components
Description
Plot the variance explained by each PCA component. The number of
components shown is controlled by num_components, with up to the
first 10 componenets shown by default. If less than the requested number of
components exist, then all the components will be shown.
Usage
plot_pca_variance(pca, num_components = 10)
Arguments
pca
output of pca_wsaf() function.
num_components
maximum components to be shown.
mrc-ide/MIPanalyzer documentation built on Jan. 17, 2024, 7:16 p.m.
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View source: R/analysis_clustering.R
| plot_pca_variance | R Documentation |
Plot variance explained by PCA components
Description
Plot the variance explained by each PCA component. The number of
components shown is controlled by num_components, with up to the
first 10 componenets shown by default. If less than the requested number of
components exist, then all the components will be shown.
Usage
plot_pca_variance(pca, num_components = 10)
Arguments
pca |
output of |
num_components |
maximum components to be shown. |
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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