apd_pca()
fits a model.
apd_pca(x, ...) # S3 method for default apd_pca(x, ...) # S3 method for data.frame apd_pca(x, threshold = 0.95, ...) # S3 method for matrix apd_pca(x, threshold = 0.95, ...) # S3 method for formula apd_pca(formula, data, threshold = 0.95, ...) # S3 method for recipe apd_pca(x, data, threshold = 0.95, ...)
x | Depending on the context:
|
---|---|
... | Not currently used, but required for extensibility. |
threshold | A number indicating the percentage of variance desired from the principal components. It must be a number greater than 0 and less or equal than 1. |
formula | A formula specifying the predictor terms on the right-hand side. No outcome should be specified. |
data | When a recipe or formula is used,
|
A apd_pca
object.
The function computes the principal components that account for
up to either 95% or the provided threshold
of variability. It also
computes the percentiles of the absolute value of the principal components.
Additionally, it calculates the mean of each principal component.