rawdata


  This data set is the eye movement data recorded during reading sentences. 
  The sentences consists of 8 regions defined by the researcher. The 
  experiment consists of 2 lists (8 items in each list), 2 subjects, and 
  4 conditions. Each row contains the information of one fixation. This data
  frame is a template for the data to be provided by users of fpa-package,
  and the number and names of variables should be same with this data frame.
  If the user does not have several lists in his/her experiment, lease use
  the id 1 for every row.


datasets

Spatio-temporal Fixation Pattern Analysis (FPA) is a new method of analyzing eye
movement data, developed by Mr. Jinlu Cao under the supervision of Prof. Chen Hsuan-Chih at
The Chinese University of Hong Kong, and Prof. Wang Suiping at the South China Normal
Univeristy. The package "fpa" is a R implementation which makes FPA analysis much easier.
There are four major functions in the package: ft2fp(), get_pattern(), plot_pattern(), and
lineplot(). The function ft2fp() is the core function, which can complete all the preprocessing
within moments. The other three functions are supportive functions which visualize the eye
fixation patterns.

Jinlu Cao

Spatio-Temporal Fixation Pattern Analysis

rawdata function

In the data frame each row represents one fixation of the eyes.  
  Fixations are ordered chronologically within trial.  The data frame has 
  the following columns:
    <dl> </dl>

rawdata: Fixation time data of an eye movement experiment

Description

Usage

Arguments

Format