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IXD Sheridan
Interaction Design at Sheridan College
Public
Edited
Sep 12, 2023
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// randomMoodValue = [d3.randomNormal(moodValue,sigma)()]; // Generate a single number
randomMoodValue = Array.from({length: n}, () => Math.floor(d3.randomNormal(moodValueMean,sigma)() )); //Generate an array of number
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randomDateArray = (randomDateArrayReap.reduce(function(a,b){if(a.indexOf(b)<0)a.push(b);return a;},[]));
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viewof firstDay = Inputs.date({value:"2020-12-10",label: "First Day I rate my mood:", max:new Date()})
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randomDateArrayRaw = randomDateArray.flatMap(n => n.toISOString().split('T')[0]); //Format the date to yyyy-mm-dd
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function transCI(CIL) {
// const CIL_txt = 0,
if(CIL === null){
return "Please select a CI level"
}else if(CIL == 1){
return "1σ interval = 68%CI"
}else if(CIL == 2){
return "2σ interval = 95%CI"
}else if(CIL == 3){
return "3σ interval = 99.7%CI"
}else if(CIL == 4){
return "4σ interval = 99.99%CI"
}else if(CIL == 5){
return "5σ interval = 99.99994%CI (Paticle Physics standard)"
}
}
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SleepStudyData.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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sleepHours = sleepstudydata.filter(sleepstudydata => sleepstudydata["Hours"] > 0) //Extract data from the csv doc to array, and filtered out missing data.
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sleepHoursFilt = sleepHours.map(data => {
return data.Hours
})
// sleepHourArr = sleepHours.map(d => [d.Participant, d.Hours]) //I tried to extract two variables from the original data, but it doesn't shows in a json format. So I still used my clumpsy method here: extract varibables separatly and combine them in a function called jsonRecords().
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sleepMean = Number(d3.mean(sleepHoursFilt).toString().match(/^\d+(?:\.\d{0,2})?/))
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// sleepSigma = Math.floor(d3.deviation(hours))
sleepSigma = Number(d3.deviation(sleepHoursFilt).toString().match(/^\d+(?:\.\d{0,2})?/))
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sleepData = jsonRecords2(parNo,sleepHoursFilt)
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