Augment data with information from a gt_pca object
augment_gt_pca.Rd
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).
Usage
# S3 method for class 'gt_pca'
augment(x, data = NULL, k = NULL, ...)
Value
A gen_tibble containing the original data along with additional columns containing each observation's projection into PCA space.