tidy_pca_screeplot: Create PCA Scree Plot
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-pca.R
tidy_pca_screeplot R Documentation
Create PCA Scree Plot
Description
Visualize variance explained by each principal component
Usage
tidy_pca_screeplot(pca_obj, type = "proportion", add_line = TRUE)
Arguments
pca_obj
A tidy_pca object
type
Character; "variance" or "proportion" (default)
add_line
Logical; add horizontal line at eigenvalue = 1? (for Kaiser criterion)
Value
A ggplot object
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-pca.R
| tidy_pca_screeplot | R Documentation |
Create PCA Scree Plot
Description
Visualize variance explained by each principal component
Usage
tidy_pca_screeplot(pca_obj, type = "proportion", add_line = TRUE)
Arguments
pca_obj |
A tidy_pca object |
type |
Character; "variance" or "proportion" (default) |
add_line |
Logical; add horizontal line at eigenvalue = 1? (for Kaiser criterion) |
Value
A ggplot object
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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