This filter is used for study designs with paired sampling to ensure that measurements from the same source (e.g. patient) are represented in all factor levels and interactions.
Usage
pairs_filter(factor_name, sample_id, ...)
Arguments
- factor_name
(character) The name of a sample-meta column to use.
- sample_id
(character) Name of sample meta column containing sample identifiers.
- ...
Additional slots and values passed to struct_class.
Value
A pairs_filter object with the following output slots:
filtered | (DatasetExperiment) A DatasetExperiment object after the filter has been applied. |
flags | (data.frame) A data.frame indicating whether features were filtered from the DatasetExperiment. |
struct object
Inheritance
A pairs_filter object inherits the following struct classes:
[pairs_filter] >> [model] >> [struct_class]
Examples
M = pairs_filter(
factor_name = "V1",
sample_id = "V1")
M=pairs_filter(factor_name='Class',sample_id='ids')