R: Make Projection from a "PCA" Object

transform.PCA {hana.ml.r}

R Documentation

Make Projection from a "PCA" Object

Similar to other transform methods, this function transforms values from a "PCA" object.

## S3 method for class 'PCA'
transform(model, data, key, features = NULL,
  n.components = NULL, formula = NULL, scaling = NULL, ...)

`model`	`PCA R6 model` The model you want to transform
`data`	`DataFrame` Data to be analyzed.
`key`	`character` Name of the ID column.
`features`	`list of character, optional` Names of the feature columns. If features is not provided, it defaults to all non-ID columns.
`n.components`	`integer, optional` Number of components to be retained. The value range is from 1 to number of features. Defaults to number of features.
`formula`	R formula
`scaling`	`logical, optional` If TRUE, scale variables to have unit variance before the analysis takes place. Defaults to FALSE.

DataFrame
Transformed variable values corresponding to each data point, structured as follows:

ID column, with same name and type as data's ID column.
Score columns, type DOUBLE, representing the component score values of each data point.