f_pca_plot_variance_explained: plot varaince explained of principle components
In erblast/oetteR: Collection of personal R functions
Description
Usage
Arguments
Value
Examples
Description
plot varaince explained of principle components
Usage
1
f_pca_plot_variance_explained(pca_ls, threshold_vae_for_pc_perc = 2.5)
Arguments
pca_ls
list created by f_pca()
threshold_vae_for_pc_perc
double, filter principle components that
explain a lesser percentage of the variance than this threshold, Default: 2.5
Value
plotly graph
Examples
1
2
3
4
5
p = f_clean_data(mtcars) %>%
f_boxcox() %>%
f_pca() %>%
f_pca_plot_variance_explained()
p
erblast/oetteR documentation built on May 27, 2019, 12:11 p.m.
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Description Usage Arguments Value Examples
Description
plot varaince explained of principle components
Usage
1 | f_pca_plot_variance_explained(pca_ls, threshold_vae_for_pc_perc = 2.5)
|
Arguments
pca_ls |
list created by f_pca() |
threshold_vae_for_pc_perc |
double, filter principle components that explain a lesser percentage of the variance than this threshold, Default: 2.5 |
Value
plotly graph
Examples
1 2 3 4 5 | p = f_clean_data(mtcars) %>%
f_boxcox() %>%
f_pca() %>%
f_pca_plot_variance_explained()
p
|
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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