twoRateModel: Evaluate the two-rate model given parameters and a reach...

In thartbm/handlocs: Download and analyse 2D reaching and hand localization data

Evaluate the two-rate model given parameters and a reach deviation schedule.

Description

This function is part of a set of functions to fit and evaluate the two-rate model of motor learning.

Usage

twoRateModel(par, schedule)

Arguments

par	A named vector with the four model parameters (see details).
schedule	A vector of length N with the perturbation schedule.

Details

The 'par' argument is a named numeric vector that should have the following elements: - Ls: the slow learning rate - Lf: the fast learning rate - Rs: the slow retention rate - Rf: the fast retention rate

Value

A data frame with three columns: 'slow', 'fast' and 'total' and N rows, so that each row has the output of the slow and fast process on each trials as well as the total system output.

Examples

# write example...

thartbm/handlocs documentation built on Feb. 18, 2025, 10:53 p.m.