tof_prep_recipe: Train a recipe or list of recipes for preprocessing...

In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles

Train a recipe or list of recipes for preprocessing sample-level cytometry data

Description

Train a recipe or list of recipes for preprocessing sample-level cytometry data

Usage

tof_prep_recipe(split_data, unprepped_recipe)

Arguments

split_data	An 'rsplit' or 'rset' object from the rsample package containing the sample-level data to use for modeling. The easiest way to generate this is to use tof_split_data. Alternatively, an unsplit tbl_df, though this is not recommended.
unprepped_recipe	A recipe object (if 'split_data' is an 'rsplit' object or a 'tbl_df') or list of recipes (if 'split_data' is an 'rset' object).

Value

If split_data is an "rsplit" or "tbl_df" object, will return a single prepped recipe. If split_data is an "rset" object, will return a list of prepped recipes specific for each fold of the resampling procedure.

keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.