Home > GVSToolbox > loadFromTable.m

loadFromTable

PURPOSE ^

Syntax: dataStruct = loadFromTable( tableFile )

SYNOPSIS ^

function dataStruct = loadFromTable( tableFile )

DESCRIPTION ^

 
 Syntax:  dataStruct = loadFromTable( tableFile )
 
 Inputs:
   tableFile: tab delimited file with column labels
       subject, trial, gazeX, gazeY, label
       Labels should be 0 or 1.  
             label of 2 denotes unknown (exclude trial from analysis)
       Missing (x,y) coordinates denoted by -1
       X,Y coordinates scaled in [0,1] range
 
 Outputs:
   dataStruct: structure containing the loaded data in a nice format
       including trackCell,allLabels, and sampsPerSubj

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 %
0002 % Syntax:  dataStruct = loadFromTable( tableFile )
0003 %
0004 % Inputs:
0005 %   tableFile: tab delimited file with column labels
0006 %       subject, trial, gazeX, gazeY, label
0007 %       Labels should be 0 or 1.
0008 %             label of 2 denotes unknown (exclude trial from analysis)
0009 %       Missing (x,y) coordinates denoted by -1
0010 %       X,Y coordinates scaled in [0,1] range
0011 %
0012 % Outputs:
0013 %   dataStruct: structure containing the loaded data in a nice format
0014 %       including trackCell,allLabels, and sampsPerSubj
0015 
0016 function dataStruct = loadFromTable( tableFile )
0017 
0018 % tableFile = 'exampleTable.txt';
0019 
0020 % load
0021 s = tdfread( tableFile );
0022 trackCell = cell(1, max(s.subject)*max(s.trial));
0023 allLabels = zeros( 1, max(s.subject)*max(s.trial));
0024 
0025 
0026 subs = unique(s.subject); % list of subject numbers
0027 sampsPerSubj = zeros( length(subs),1); % for recording number trials
0028 
0029 %loop through each subject
0030 fullIdx = 1;  %for indexing data structure
0031 subjIdx = 1;
0032 for i1 = subs'
0033    % get data for this subject
0034    sIdx = find( s.subject == i1);      
0035    trial = s.trial(sIdx);
0036    x = s.gazeX( sIdx );
0037    y = s.gazeY( sIdx);
0038    lab = s.label( sIdx);
0039       
0040    % split it up by trials
0041    trList = unique(trial);
0042    sampsPerSubj(subjIdx)= length(trList); % get number samples
0043    for i2 = trList'
0044        trIdx = find( trial == i2);  
0045        % get gaze(x,i*y) and label
0046        trackCell{fullIdx} = x( trIdx)+ 1i*y(trIdx);
0047        allLabels( fullIdx) = lab(trIdx(1));
0048               
0049        % increment overallindex
0050        fullIdx = fullIdx+1;       
0051    end   
0052    % increment subject index
0053    subjIdx = subjIdx+1;   
0054 end
0055 
0056 % get data struct for output
0057 trackCell(fullIdx:end) = [];
0058 allLabels(fullIdx:end) = [];
0059 dataStruct.trackCell = trackCell;
0060 dataStruct.allLabels = allLabels;
0061 dataStruct.sampsPerSubj = sampsPerSubj;
0062 
0063 
0064

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