Founder of No More Marking Ltd, psychometrician.
md`# Appendix`
runs = FileAttachment("running.csv").csv({ typed: true })
runDates = runs.map(row => ({
...row,
dateM: moment(row.Date, 'DD-MM-YYYY')
}))
mapDates.map(mD =>
runDates.filter(rd => rd.dateM.isBetween(mD.w1, mD.currentDate, 'days', '[]'))
)
mapDates = getDates('2021-06-01', '2021-06-07')
function getDates(startDate, stopDate) {
var dateArray = [];
var currentDate = moment(startDate);
var stopDate = moment(stopDate);
while (currentDate <= stopDate) {
dateArray.push({
currentDate: moment(currentDate),
w1: moment(currentDate).subtract(6, 'days')
});
currentDate = moment(currentDate).add(1, 'days');
}
return dateArray;
}
date1m = nextRun ? moment(nextRunDate, 'YYYY-MM-DD') : moment()
date2m = nextRun
? moment(nextRunDate, 'YYYY-MM-DD').subtract(33, 'days')
: moment().subtract(33, 'days')
date2w = nextRun
? moment(nextRunDate, 'YYYY-MM-DD').subtract(6, 'days')
: moment().subtract(6, 'days')
moment
monthlyRuns = runDates.filter(
run => (run.dateM < date2w) & (run.dateM >= date2m)
)
initialValue = 0
monthlySum = monthlyRuns.reduce(
(accumulator, currentValue) => accumulator + currentValue.Distance,
initialValue
)
monthyAverage = Math.round((monthlySum / 4) * 10) / 10
weeklySum = weeklyRuns.reduce(
(accumulator, currentValue) => accumulator + currentValue.Distance,
initialValue
) + gain
weeklyRuns = runDates.filter(
run => (run.dateM <= date1m) & (run.dateM >= date2w)
)
acuteChronic = Math.round((weeklySum / monthyAverage) * 100) / 100
date1m.format("DD-MM-YYYY")
date2m.format("DD-MM-YYYY")
date2w.format("DD-MM-YYYY")
nextRun = gain > 0
moment = require('moment')
d3 = require("d3@5")
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