aggregate_resample_run_results.rm_main_results {NeuroDecodeR} | R Documentation |
A result metric (RM) method to aggregate results over resample runs
Description
This is a function that must be implemented by all RM objects. This function is called by the cross-validator to aggregate results across all resample runs. This method should not be called directly but instead it is used internally by the cross-validator (CV) object.
Usage
## S3 method for class 'rm_main_results'
aggregate_resample_run_results(resample_run_results)
Arguments
resample_run_results |
The decoding results from all resample runs. |
Value
A result metric object that contains the decoding results aggregated across resample runs. This compressed final results can be plotted (often by using the RM plot methods).
See Also
rm_main_results()
, rm_confusion_matrix()
[Package NeuroDecodeR version 0.2.0 Index]