pca_biplot {structToolbox} | R Documentation |
A scatter plot of the selected principal component scores overlaid with the corresponding principal component loadings.
pca_biplot( components = c(1, 2), points_to_label = "none", factor_name, scale_factor = 0.95, style = "points", label_features = FALSE, ... )
components |
(numeric) The principal components used to generate the plot. The default is |
points_to_label |
(character) points_to_label. Allowed values are limited to the following:
The default is |
factor_name |
(character) The name of a sample-meta column to use. |
scale_factor |
(numeric) The scaling factor applied to the loadings. The default is |
style |
(character) Plot style. Allowed values are limited to the following:
The default is |
label_features |
(logical) Add feature labels. Allowed values are limited to the following:
The default is |
... |
Additional slots and values passed to |
A pca_biplot
object.
C = pca_biplot(factor_name='Species')