Comparative Judgement for Schools
reliability = FileAttachment("r2@1.csv").csv({ typed: true })
data = [...summary_by_class_array.values()]
allR = reliability
.filter((x) => x.yearGroup == userYG)
.map((x) => x.reliability)
.sort()
// Returns the value at a given percentile in a sorted numeric array.
// "Linear interpolation between closest ranks" method
function percentile(arr, p) {
if (arr.length === 0) return 0;
if (typeof p !== "number") throw new TypeError("p must be a number");
if (p <= 0) return arr[0];
if (p >= 1) return arr[arr.length - 1];
var index = (arr.length - 1) * p,
lower = Math.floor(index),
upper = lower + 1,
weight = index % 1;
if (upper >= arr.length) return arr[lower];
return arr[lower] * (1 - weight) + arr[upper] * weight;
}
// Returns the percentile of the given value in a sorted numeric array.
function percentRank(arr, v) {
if (typeof v !== "number") throw new TypeError("v must be a number");
for (var i = 0, l = arr.length; i < l; i++) {
if (v <= arr[i]) {
while (i < l && v === arr[i]) i++;
if (i === 0) return 0;
if (v !== arr[i - 1]) {
i += (v - arr[i - 1]) / (arr[i] - arr[i - 1]);
}
return i / l;
}
}
return 1;
}
allR
userR
userP = percentRank(allR, userR)
userData = [new Object({ reliability: userR, yearGroup: userYG })]
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