fdataTransform: Create a preprocessing pipeline function

Description Usage Arguments Value


Internal function, documented due to the importance of its concept. Creates a pipeline function to do all the preprocessing needed in classiKnn and classiKernel. This is helpful to ensure that the data preprocessing (imputation of missing values, derivation) is carried out in exactly the same way for the training and the test set in predict.classiKnn and predict.classiKernel.


fdataTransform(grid, nderiv, derived, evenly.spaced, no.missing, deriv.method,


grid, nderiv, derived, evenly.spaced, no.missing, deriv.method

see classiKnn


additional arguments to fda::smooth.basis


Pipeline function taking one argument fdata. The returned function carries out all the preprocessing needed for the calling model of class classiKnn.

classiFunc documentation built on May 2, 2019, 2:04 a.m.