Description Usage Arguments Value
Apply principal components analysis
1 | select_pca(data, min_pve = 1, scale = TRUE)
|
data |
A feature matrix, rows are samples and columns are features. |
min_pve |
Minimum of percentage of variance explained by the selected principal components. |
scale |
A logical value indicating wether the data is normalized before PCA. |
A features matrix with only selected principal components.
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