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Improve statistics table

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This commit is contained in:
Mickaël Véril 2020-02-20 14:42:40 +01:00
parent c5208d13b5
commit 0714161047
1 changed files with 73 additions and 77 deletions
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48
content/multipledataset.html
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@ -268,28 +268,24 @@ draft: false
key.shift()
Reflect.setPrototypeOf(key[0], method.prototype)
//Reflect.setPrototypeOf(key[1], DOI.prototype)
for (const [i, el] of key.entries()) {
var td = $("<th/>",{scope:"column"})
if (i === 1) {
var publi = doiCache.get(el, true)
th = $("<th/>", { scope: "column" })
const [meth, doi] = key
th.clone().text(meth.toString("\n").split('-').join('\u2011')).appendTo(row)
var thdoi = th.clone()
var publi = doiCache.get(doi, true)
const sets = await getSets()
if (sets.has(el)) {
var str = sets.get(el)
$(td).append(str+ " ")
if (sets.has(doi)) {
var str = sets.get(doi)
$(thdoi).append(str + " ")
}
$("<a/>", {
href: new DOI(el).url,
href: new DOI(doi).url,
target: "_blank"
}).html(publi.format('citation', {
format: 'html',
lang: 'en-US'
})).appendTo(td)
}
else {
$(td).text(el)
}
$(row).append(td)
}
})).appendTo(thdoi)
$(row).append(thdoi)
const noNanVals = (vals.every((v) => Number.isNaN(v))) ? vals : (vals.filter((v) => !Number.isNaN(v)))
const avals = noNanVals.map(v => Math.abs(v))
for (const val of [ss.min(noNanVals), ss.max(noNanVals), ss.mean(noNanVals), ss.mean(avals), ss.median(noNanVals), ss.median(avals), ss.rootMeanSquare(noNanVals), ss.variance(noNanVals), ss.standardDeviation(noNanVals)]) {
@ -587,17 +583,17 @@ draft: false
<section>
<table id="stat_table" class="datatable">
<thead class="sticky">
<th>Method</th>
<th>Set</th>
<th>Min</th>
<th>Max</th>
<th>Mean</th>
<th>Absolute Mean</th>
<th>Median</th>
<th>Absolute Median</th>
<th>RMS</th>
<th>Variance</th>
<th>Standard deviation</th>
<th scope="col">Method</th>
<th scope="col">Set</th>
<th scope="col">Min</th>
<th scope="col">Max</th>
<th scope="col">MSE</th>
<th scope="col">MAE</th>
<th scope="col">Median</th>
<th scope="col">Absolute Median</th>
<th scope="col">RMS</th>
<th scope="col">Variance</th>
<th scope="col">Standard deviation</th>
</thead>
<tbody>
</tbody>