newdata


  This data set is the fixation probability data generated by the ft2fp() 
  function. The data set retains the information of list, subject, and
  condition of original fixation time data set. The variable "Time" is
  generated based on the TimeCourse and TimeInterval arguments defined 
  by users. The variable "N" is the total number of valid trials after
  the deletion of invalid ones for the corresponding spatio-temporal 
  unit. The variable "y" is the number of trials with fixations on that 
  particular region at that time point. Fixation probability is calculated
  by dividing y by N. "N" and "y" would be used for further analysis in
  empirical logistic transformation and lme modeling.


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

newdata function

In the data frame each row represents the fixation probability 
  and other information for one spatio-temporal unit. The data frame has 
  the following columns:
    <dl> </dl>

newdata: Fixation probability data generated by ft2fp() function

Description

Usage

Arguments

Format