| prep {mdatools} | R Documentation |
Class for preprocessing object
Description
Class for preprocessing object
Usage
prep(name, params = NULL, method = NULL)
Arguments
name |
short text with name for the preprocessing method. |
params |
a list with parameters for the method (if NULL - default parameters will be used). |
method |
method to call when applying the preprocessing, provide it only for user defined methods. |
Details
Use this class to create a list with a sequence of preprocessing methods to keep them together
in right order and with defined parameters. The list/object can be provided as an extra argument
to any modelling function (e.g. pca, pls, etc), so the optimal model parameters and
the optimal preprocessing will be stored together and can be applied to a raw data by using
method predict.
For your own preprocessing method you need to create a function, which takes matrix with values (dataset) as the first argument, does something and then return a matrix with the same dimension and same attributes as the result. The method can have any number of optional parameters.
See Bookdown tutorial for details.