pERPred: Principle ERP Reduction

In emjcampos/pERPred: Principle 'ERP' Reduction

Description

This function will contain the estimation algorithm of the principle ERPs (pERPs).

Usage

pERPred(
  df,
  num_pERPs = 20,
  percent_variation_electrode = 80,
  percent_variation_subject = 80
)

Arguments

df	The dataframe with a column for Task, Subject, and Time. The remaining columns are the Electrodes.
num_pERPs	The number of pERPs to estimate.
percent_variation_electrode	The percent variation to use in the electrode PCA step.
percent_variation_subject	The percent variation to use in the subject PCA step.

Value

pERPs The prinicple ERPs (pERPs) are the bases functions estimated by the pERP-RED algorithm.

emjcampos/pERPred documentation built on June 23, 2021, 6:18 p.m.