transform: Transform data using a fitted preprocessing pipeline

In multivarious: Extensible Data Structures for Multivariate Analysis

Transform data using a fitted preprocessing pipeline

Description

Apply a fitted preprocessing pipeline to new data. The preprocessing object must have been fitted using fit() or fit_transform() before calling this function.

Usage

transform(object, X, ...)

Arguments

object	A fitted preprocessing object
X	A matrix or data frame to transform
...	Additional arguments passed to methods

Value

The transformed data matrix

See Also

fit(), fit_transform(), inverse_transform()

Examples

# Transform new data with fitted preprocessor
X_train <- matrix(rnorm(100), 10, 10)
X_test <- matrix(rnorm(50), 5, 10)

preproc <- center()
fitted_preproc <- fit(preproc, X_train)
X_test_transformed <- transform(fitted_preproc, X_test)

multivarious documentation built on Jan. 22, 2026, 1:06 a.m.