ADTTE = {
trigger
return aq.table({
USUBJID: d3.range(1,enrollment+1).map(d => 'Subject' + d),
AVAL: Array.from({length: enrollment}, d3.randomInt(1, 24)),
CNSR: Array.from({length: enrollment}, d3.randomBinomial(1, 0.2)),
PARAMCD: new Array(enrollment).fill('PFS'),
}).objects()
}
ADSL = {
trigger
return aq.table({
USUBJID: d3.range(1, enrollment + 1).map(d => 'Subject' + d),
MARKFL1: Array.from({length: enrollment}, d3.randomInt(1, 100)),
MARKFL2: Array.from({length: enrollment}, d3.randomBinomial(1, 0.6)),
})
.objects()
.map(d => ({...d, 'MARKFL1B': d.MARKFL1 > cutoff ? 1 : 0}))
}
ADRS = {
trigger
const probs = [0.2, 0.4, 0.2, 0.1, 0.1]
const mult = SJS.Multinomial(enrollment, probs).draw()
const rs = ['CR', 'PR', 'SD', 'PD', 'NE']
let r = []
mult.map((d,i) => {
r.push(...new Array(d).fill(rs[i]))
})
const rsArray = _.shuffle(r)
return aq.table({
USUBJID: d3.range(1, enrollment + 1).map(d => 'Subject' + d),
AVALC: rsArray,
PARAMCD: new Array(enrollment).fill('BESTRESP'),
})
.objects()
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
