pca_explained_var_plot: Make an explained variance plot
In ricoderks/lipidomics: Lipidomics workflow
View source: R/pca_explained_var_plot.R
pca_explained_var_plot R Documentation
Make an explained variance plot
Description
Make an explained variance plot for PCA with plotly
Usage
pca_explained_var_plot(exp_var_data, num_pc = 5)
Arguments
exp_var_data
tibble containing the scores information
num_pc
number of components to plot, default is 5
Value
a plotly graph
Author(s)
Rico Derks
ricoderks/lipidomics documentation built on Nov. 10, 2024, 2:30 a.m.
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View source: R/pca_explained_var_plot.R
| pca_explained_var_plot | R Documentation |
Make an explained variance plot
Description
Make an explained variance plot for PCA with plotly
Usage
pca_explained_var_plot(exp_var_data, num_pc = 5)
Arguments
exp_var_data |
tibble containing the scores information |
num_pc |
number of components to plot, default is 5 |
Value
a plotly graph
Author(s)
Rico Derks
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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