Published
Edited
Feb 29, 2020
difference = {
const svg = d3.create('svg')
.attr('viewBox', [0, 0, width, height]);
const wrapper = svg.append('g')
.attr('transform', `translate(${margin.left}, ${margin.top})`);
wrapper.append('path')
.datum(data_null)
.attr('fill', '#6CB2EB')
.attr('fill-opacity', .7)
.attr('stroke', 'none')
.attr('d', area);
wrapper.append('path')
.datum(data)
.attr('fill', '#3490DC')
.attr('fill-opacity', .9)
.attr('stroke', 'none')
.attr('d', area);
wrapper.append('line')
.attr('x1', x(0.31))
.attr('x2', x(0.31))
.attr('y1', 0)
.attr('y2', y.range()[0])
.style('stroke', '#fff')
.style('stroke-dasharray', '4 4');
wrapper.append('line')
.attr('x1', x(0))
.attr('x2', x(0))
.attr('y1', 0)
.attr('y2', y.range()[0])
.style('stroke', '#fff')
.style('stroke-dasharray', '4 4');
wrapper.append('line')
.attr('x1', x(0))
.attr('x2', x(0.31))
.attr('y1', innerHeight + margin.bottom / 3)
.attr('y2', innerHeight + margin.bottom / 3)
.style('stroke', 'black');
wrapper.append('line')
.attr('x1', x(0))
.attr('x2', x(0))
.attr('y1', innerHeight + margin.bottom / 3)
.attr('y2', innerHeight + margin.bottom / 4)
.style('stroke', 'black');
wrapper.append('line')
.attr('x1', x(0.31))
.attr('x2', x(0.31))
.attr('y1', innerHeight + margin.bottom / 3)
.attr('y2', innerHeight + margin.bottom / 4)
.style('stroke', 'black');
wrapper.append('text')
.attr('x', x(0.31 / 2))
.attr('y', innerHeight + margin.bottom / 1.5)
.text("Gruppenunterschied 10%")
.style('text-anchor', 'middle')
return svg.node();
}
area = d3.area()
.x(d => x(d.x))
.y1(d => y(d.y))
.y0(y(0))
x = d3.scaleLinear()
.domain([-3, 6])
.range([0, innerWidth])
y = d3.scaleLinear()
.domain([Math.min(d3.min(data, d => d.y),0), Math.max(1,d3.max(data, d => d.y))]).nice()
.range([innerHeight, 0])
height = 400
innerWidth = width - margin.left - margin.right
innerHeight = 400 - margin.top - margin.bottom
margin = ({top: 20, left: 20, right: 20, bottom: 80})
function normal_pdf (input_value, mu, sigsq) {
let left_chunk = 1/(Math.sqrt(2*Math.PI*sigsq))
let right_top = -((input_value-mu)**2)
let right_bottom = 2*sigsq
return left_chunk * Math.exp(right_top/right_bottom)
}
sigsquared = σ**2
abs_x = 6
data = {
let values = [];
for (let x = -abs_x; x < abs_x; x=x+0.01) values.push({"x":x,"y":normal_pdf(x, µ, sigsquared)});
return values;
}
data_null = {
let values = [];
for (let x = -abs_x; x < abs_x; x=x+0.01) values.push({"x":x,"y":normal_pdf(x, 0, sigsquared)});
return values;
}
d3 = require('d3')
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