Augment data with information from a gt_pca object

Augment for gt_pca accepts a model object and a dataset and adds scores to each observation in the dataset. Scores for each component are stored in a separate column, which is given name with the pattern ".fittedPC1", ".fittedPC2", etc. For consistency with broom::augment.prcomp, a column ".rownames" is also returned; it is a copy of 'id', but it ensures that any scripts written for data augmented with broom::augment.prcomp will work out of the box (this is especially helpful when adapting plotting scripts).

# S3 method for class 'gt_pca'
augment(x, data = NULL, k = NULL, ...)

Arguments

x

A gt_pca object returned by one of the gt_pca_* functions.

data

the gen_tibble used to run the PCA.

k

the number of components to add

...

Not used. Needed to match generic signature only.

Value

A gen_tibble containing the original data along with additional columns containing each observation's projection into PCA space.