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Copy pathwriteTable.m
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writeTable.m
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function writeTable(alldata_dir)
% Reads back analysed json files (0.json, 1.json, etc) for one participant and outputs a table
% from that, saving it in the participant folder
jsonI = 0; % start from 0 and stop when there's no more files
if nargin < 1
alldata_dir = uigetdir('', 'Select folder containing numbered json files');
end
filename = [alldata_dir filesep num2str(jsonI) '.json'];
while exist(filename)
jsonI = jsonI + 1;
filename = [alldata_dir filesep num2str(jsonI) '.json'];
end
nOfFiles = jsonI;
assert(nOfFiles > 0, 'No files found');
msgNo = zeros(nOfFiles,1);
id = cell(nOfFiles, 1);
from = cell(nOfFiles, 1);
priority = zeros(nOfFiles,1);
workload = zeros(nOfFiles,1);
binaryPriority = zeros(nOfFiles,1);
pleasure = zeros(nOfFiles,1);
binaryPleasure = zeros(nOfFiles,1);
binaryWorkload = zeros(nOfFiles,1);
eagerlyExpected = zeros(nOfFiles,1);
spam = zeros(nOfFiles,1);
wasUnread = zeros(nOfFiles,1);
nOfKeywords = zeros(nOfFiles,1);
avgKeywordDuration = zeros(nOfFiles,1);
keywordDurationStd = zeros(nOfFiles,1);
headAccelInt = zeros(nOfFiles,1);
handAccelInt = zeros(nOfFiles,1);
corrInt = zeros(nOfFiles,1);
zygoInt = zeros(nOfFiles,1);
phasicInt = zeros(nOfFiles,1);
timeSpent = zeros(nOfFiles, 1);
nOfVisits = zeros(nOfFiles, 1);
meanVisitTime = zeros(nOfFiles, 1);
bodyGazeDurationMean = zeros(nOfFiles, 1);
bodyGazeDurationStd = zeros(nOfFiles, 1);
bodyGazeCount = zeros(nOfFiles, 1);
preThreadGazeDurationMean = zeros(nOfFiles, 1);
preThreadGazeDurationStd = zeros(nOfFiles, 1);
preThreadGazeCount = zeros(nOfFiles, 1);
threadGazeDurationMean = zeros(nOfFiles, 1);
threadGazeDurationStd = zeros(nOfFiles, 1);
threadGazeCount = zeros(nOfFiles, 1);
clickCount = zeros(nOfFiles, 1);
clickSum = zeros(nOfFiles, 1);
pointerCount = zeros(nOfFiles, 1);
pointerSum = zeros(nOfFiles, 1);
keyboardCount = zeros(nOfFiles, 1);
keyboardSum = zeros(nOfFiles, 1);
emgCorrObw = zeros(nOfFiles, 1);
emgCorrMedfreq = zeros(nOfFiles, 1);
emgCorrMeanfreq = zeros(nOfFiles, 1);
emgCorrPowerbw = zeros(nOfFiles, 1);
emgZygoObw = zeros(nOfFiles, 1);
emgZygoMedfreq = zeros(nOfFiles, 1);
emgZygoMeanfreq = zeros(nOfFiles, 1);
emgZygoPowerbw = zeros(nOfFiles, 1);
edaObw = zeros(nOfFiles, 1);
edaMedfreq = zeros(nOfFiles, 1);
edaMeanfreq = zeros(nOfFiles, 1);
edaPowerbw = zeros(nOfFiles, 1);
headObw = zeros(nOfFiles, 1);
headMedfreq = zeros(nOfFiles, 1);
headMeanfreq = zeros(nOfFiles, 1);
headPowerbw = zeros(nOfFiles, 1);
handObw = zeros(nOfFiles, 1);
handMedfreq = zeros(nOfFiles, 1);
handMeanfreq = zeros(nOfFiles, 1);
handPowerbw = zeros(nOfFiles, 1);
headMeanDiff = zeros(nOfFiles, 1);
emgCorrMeanDiff = zeros(nOfFiles, 1);
emgZygoMeanDiff = zeros(nOfFiles, 1);
headMeanAbsDiff = zeros(nOfFiles, 1);
emgCorrMeanAbsDiff = zeros(nOfFiles, 1);
emgZygoMeanAbsDiff = zeros(nOfFiles, 1);
headIntDiff = zeros(nOfFiles, 1);
emgCorrIntDiff = zeros(nOfFiles, 1);
emgZygoIntDiff = zeros(nOfFiles, 1);
edaMeanDiff = zeros(nOfFiles, 1);
edaMeanAbsDiff = zeros(nOfFiles, 1);
edaIntDiff = zeros(nOfFiles, 1);
handMeanDiff = zeros(nOfFiles, 1);
handMeanAbsDiff = zeros(nOfFiles, 1);
handIntDiff = zeros(nOfFiles, 1);
edaMaxPeakTimeDiff = zeros(nOfFiles, 1);
edaMinPeakTimeDiff = zeros(nOfFiles, 1);
edaMeanPeakTimeDiff = zeros(nOfFiles, 1);
edaMaxPeakAmp = zeros(nOfFiles, 1);
edaMinPeakAmp = zeros(nOfFiles, 1);
edaMeanPeakAmp = zeros(nOfFiles, 1);
for rowNo = 1 : nOfFiles
filename = [alldata_dir filesep num2str(rowNo - 1) '.json'];
text = fileread(filename);
json = jsondecode(text);
msgNo(rowNo) = rowNo - 1;
priority(rowNo) = json.priority;
binaryPriority(rowNo) = json.priority > 2.5;
pleasure(rowNo) = json.pleasure;
binaryPleasure(rowNo) = json.pleasure > 2.5;
eagerlyExpected(rowNo) = json.eagerlyExpected;
binaryWorkload(rowNo) = json.workload > 2.5;
workload(rowNo) = json.workload;
id{rowNo} = json.id;
from{rowNo} = json.fromString;
spam(rowNo) = json.spam;
wasUnread(rowNo) = json.wasUnread;
nOfKeywords(rowNo) = numel(json.keywords);
keywordGazeDurations = structSub2Vector(json.keywords, 'gazeDurations');
avgKeywordDuration(rowNo) = mean(keywordGazeDurations);
keywordDurationStd(rowNo) = std(keywordGazeDurations);
headAccelInt(rowNo) = json.emg.accelInt;
handAccelInt(rowNo) = json.eda.accelInt;
corrInt(rowNo) = json.emg.corrInt;
zygoInt(rowNo) = json.emg.zygoInt;
phasicInt(rowNo) = json.eda.phasicInt;
timeSpent(rowNo) = json.endUnixtime - json.startUnixtime;
nOfVisits(rowNo) = numel(json.visits);
visitTimes = zeros(numel(json.visits), 1);
for i = 1 : numel(json.visits)
visitTimes(i) = json.visits(i).endUnixtime - json.visits(i).startUnixtime;
end
meanVisitTime(rowNo) = mean(visitTimes);
emgCorrObw(rowNo) = json.emg.corrObw;
emgCorrMedfreq(rowNo) = json.emg.corrMedfreq;
emgCorrMeanfreq(rowNo) = json.emg.corrMeanfreq;
emgCorrPowerbw(rowNo) = json.emg.corrPowerbw;
emgZygoObw(rowNo) = json.emg.zygoObw;
emgZygoMedfreq(rowNo) = json.emg.zygoMedfreq;
emgZygoMeanfreq(rowNo) = json.emg.zygoMeanfreq;
emgZygoPowerbw(rowNo) = json.emg.zygoPowerbw;
edaObw(rowNo) = json.eda.obw;
edaMedfreq(rowNo) = json.eda.medfreq;
edaMeanfreq(rowNo) = json.eda.meanfreq;
edaPowerbw(rowNo) = json.eda.powerbw;
headObw(rowNo) = json.emg.accelObw;
headMedfreq(rowNo) = json.emg.accelMedfreq;
headMeanfreq(rowNo) = json.emg.accelMeanfreq;
headPowerbw(rowNo) = json.emg.accelPowerbw;
handObw(rowNo) = json.eda.accelObw;
handMedfreq(rowNo) = json.eda.accelMedfreq;
handMeanfreq(rowNo) = json.eda.accelMeanfreq;
handPowerbw(rowNo) = json.eda.accelPowerbw;
handMeanDiff(rowNo) = json.eda.accelMeanDiff;
handMeanAbsDiff(rowNo) = json.eda.accelMeanAbsDiff;
handIntDiff(rowNo) = json.eda.accelIntDiff;
headMeanDiff(rowNo) = json.emg.accelMeanDiff;
emgCorrMeanDiff(rowNo) = json.emg.corrMeanDiff;
emgZygoMeanDiff(rowNo) = json.emg.zygoMeanDiff;
headMeanAbsDiff(rowNo) = json.emg.accelMeanAbsDiff;
emgCorrMeanAbsDiff(rowNo) = json.emg.corrMeanAbsDiff;
emgZygoMeanAbsDiff(rowNo) = json.emg.zygoMeanAbsDiff;
headIntDiff(rowNo) = json.emg.accelIntDiff;
emgCorrIntDiff(rowNo) = json.emg.corrIntDiff;
emgZygoIntDiff(rowNo) = json.emg.zygoIntDiff;
edaMeanDiff(rowNo) = json.eda.meanDiff;
edaMeanAbsDiff(rowNo) = json.eda.meanAbsDiff;
edaIntDiff(rowNo) = json.eda.intDiff;
edaMaxPeakTimeDiff(rowNo) = json.eda.maxPeakTimeDiff;
edaMinPeakTimeDiff(rowNo) = json.eda.minPeakTimeDiff;
edaMeanPeakTimeDiff(rowNo) = json.eda.meanPeakTimeDiff;
edaMaxPeakAmp(rowNo) = json.eda.maxPeakAmp;
edaMinPeakAmp(rowNo) = json.eda.minPeakAmp;
edaMeanPeakAmp(rowNo) = json.eda.meanPeakAmp;
[bodyGazeDurationMean(rowNo), bodyGazeDurationStd(rowNo), bodyGazeCount(rowNo)] = read_gaze(json.gazes.body);
if isfield(json, 'pre_gazes')
[preThreadGazeDurationMean(rowNo), preThreadGazeDurationStd(rowNo), preThreadGazeCount(rowNo)] = read_gaze(json.pre_gazes.thread);
else
preThreadGazeDurationMean(rowNo) = 0;
preThreadGazeDurationStd(rowNo) = 0;
preThreadGazeCount(rowNo) = 0;
end
[threadGazeDurationMean(rowNo), threadGazeDurationStd(rowNo), threadGazeCount(rowNo)] = read_gaze(json.gazes.thread);
[clickCount(rowNo), clickSum(rowNo)] = read_active(json.clickActivity);
[pointerCount(rowNo), pointerSum(rowNo)] = read_active(json.pointerActivity);
[keyboardCount(rowNo), keyboardSum(rowNo)] = read_active(json.keyboardActivity);
end
spam = categorical(spam);
tab = table(msgNo, id, from, priority, pleasure, workload, eagerlyExpected, spam, nOfKeywords, wasUnread, avgKeywordDuration, keywordDurationStd, headAccelInt, handAccelInt, phasicInt, corrInt, zygoInt, binaryPriority, binaryPleasure, binaryWorkload, timeSpent, bodyGazeDurationMean, bodyGazeDurationStd, bodyGazeCount, preThreadGazeDurationMean, preThreadGazeDurationStd, preThreadGazeCount, threadGazeDurationMean, threadGazeDurationStd, threadGazeCount, clickCount, clickSum, pointerCount, pointerSum, keyboardCount, keyboardSum, ...
emgCorrObw, emgCorrMedfreq, emgCorrMeanfreq, emgCorrPowerbw, emgZygoObw, emgZygoMedfreq, emgZygoMeanfreq, emgZygoPowerbw, edaObw, edaMedfreq, edaMeanfreq, edaPowerbw, ...
nOfVisits, meanVisitTime, headObw, headMedfreq, headMeanfreq, headPowerbw, handObw, handMedfreq, handMeanfreq, handPowerbw, ...
headMeanDiff, emgCorrMeanDiff, emgZygoMeanDiff, headMeanAbsDiff, emgCorrMeanAbsDiff, emgZygoMeanAbsDiff, headIntDiff, emgCorrIntDiff, emgZygoIntDiff, edaMeanDiff, edaMeanAbsDiff, edaIntDiff, handMeanDiff, handMeanAbsDiff, handIntDiff, edaMaxPeakTimeDiff, edaMinPeakTimeDiff, edaMeanPeakTimeDiff, edaMaxPeakAmp, edaMinPeakAmp, edaMeanPeakAmp, ...
'VariableNames', ...
{'msgNo' 'id' 'from' 'priority' 'pleasure' 'workload' 'eagerlyExpected' 'spam' 'nOfKeywords' 'wasUnread' 'avgKeywordDuration' 'keywordDurationStd' 'headAccelInt' 'handAccelInt' 'phasicInt' 'corrInt' 'zygoInt' 'binaryPriority' 'binaryPleasure' 'binaryWorkload' 'timeSpent' 'bodyGazeDurationMean' 'bodyGazeDurationStd' 'bodyGazeCount' 'preThreadGazeDurationMean' 'preThreadGazeDurationStd' 'preThreadGazeCount' 'threadGazeDurationMean' 'threadGazeDurationStd' 'threadGazeCount' 'clickCount' 'clickSum' 'pointerCount' 'pointerSum' 'keyboardCount' 'keyboardSum' ...
'emgCorrObw' 'emgCorrMedfreq' 'emgCorrMeanfreq' 'emgCorrPowerbw' 'emgZygoObw' 'emgZygoMedfreq' 'emgZygoMeanfreq' 'emgZygoPowerbw' 'edaObw' 'edaMedfreq' 'edaMeanfreq' 'edaPowerbw' ...
'nOfVisits' 'meanVisitTime' 'headObw' 'headMedfreq' 'headMeanfreq' 'headPowerbw' 'handObw' 'handMedfreq' 'handMeanfreq' 'handPowerbw', ...
'headMeanDiff' 'emgCorrMeanDiff' 'emgZygoMeanDiff' 'headMeanAbsDiff' 'emgCorrMeanAbsDiff' 'emgZygoMeanAbsDiff' 'headIntDiff' 'emgCorrIntDiff' 'emgZygoIntDiff' 'edaMeanDiff' 'edaMeanAbsDiff' 'edaIntDiff' 'handMeanDiff' 'handMeanAbsDiff' 'handIntDiff' 'edaMaxPeakTimeDiff' 'edaMinPeakTimeDiff' 'edaMeanPeakTimeDiff' 'edaMaxPeakAmp' 'edaMinPeakAmp' 'edaMeanPeakAmp'
});
tableFile = [alldata_dir filesep 'datatable.mat'];
save(tableFile, 'tab');
disp(['Saved table into ' tableFile ' (' num2str(rowNo) ' rows)']);
end