mousetrack-package: Mouse-tracking measures from trajectory data.

In mousetrack: Mouse-Tracking Measures from Trajectory Data

Description

Extract from two-dimensional (x-y coordinates) of a trajectory several dependent measures, such as area under the curve, latency to start the movement, x-flips, etc. Mainly developed to analyze mouse-tracking data.

Details

Package:	mousertrack
Type:	Package
Version:	1.0
Date:	2015-01-28
License:	GPL >= 2

getmouseDV: Mother function to extract 40 different measures characterizing the action-dynamics response underlying the arm-reaching trajectory.

interpltraj: Interpolate one (or two-dimensional) trajectory into a fix number of bins.

Author(s)

Moreno I. Coco ([e-mail]) and Nicholas D. Duran ([e-mail])

References

Spivey, M., and Dale, R. (2006). Continuous dynamics in real-time cognition. Current Directions in Psychological Science, 15(5), 207-211.

Freeman, J. B., and Ambady, N. (2010). Mousetracker: Software for studying real-time mental processing using a computer mouse-tracking method. Behavior Research Methods, 42(1), 226-241.

Examples

data(mousemove) ## load data 

unit = 25; dwellfin = escape = escapeinit = 100
velajbin = 6

x = mousemove$x; y = mousemove$y;
counterb = as.character( mousemove$counterb[1] )
refcounterb = "R"
t = mousemove$time

ans =  getmouseDV(x, y, t, unit, counterb,
        refcounterb, dwellfin, velajbin,
        escape, escapeinit)

str(ans)

mousetrack documentation built on May 2, 2019, 4:53 a.m.