问题
I saw other libraries support this but there is very little data for Chart.js. Can anybody indicate me the way to start with a regression line for my graph? This is my code so far:
var datiedu3 = {"labels": ['ok'],
"datasets": [{label: 'EEE',
data: datoa ,
backgroundColor: 'rgb(255, 99, 132)',
borderWidth: 1,
showLine: false}]
};
function grafo2(dati, opzioni) {
var grafoline = document.getElementById('Chartline').getContext('2d');
new Chart(grafoline, {type: 'scatter',data: dati, options: opzioni});
};
// display the data used in dataset[0]:
console.log(datiedu3.datasets[0].data)
grafo2(datiedu3)
I figured I had to create another dataset with a line graph, and put my equation there, but I don't know how to do it and I'm a bit lost.
My whole code is here codepen
回答1:
I typically use the regression package.
First, add the package as an external script. Second, clean your data. Just basic checks here:
const clean_data = datoa
.filter(({ x, y }) => {
return (
typeof x === typeof y && // filter out one string & one number
!isNaN(x) && // filter out `NaN`
!isNaN(y) &&
Math.abs(x) !== Infinity &&
Math.abs(y) !== Infinity
);
})
.map(({ x, y }) => {
return [x, y]; // we need a list of [[x1, y1], [x2, y2], ...]
});
Then run
const my_regression = regression.linear(
clean_data
);
The result will be something like:
{
'points': [[4,3.79],[4.75,3.83],[5.5,3.87],.....],
'equation': [0.05,3.59],
'r2': 0.26,
'string': 'y = 0.05x + 3.59'
}
Done. We've got our [x,y] points. So transform the linear regression points into something that chartjs can render:
const useful_points = my_regression.points.map(([x, y]) => {
return y;
// or {x, y}, depending on whether you just want y-coords for a 'linear' plot
// or x&y for a 'scatterplot'
})
You can add these points either as
- another line chart dataset
- or with an annotation plugin.
来源:https://stackoverflow.com/questions/60622195/how-to-draw-a-linear-regression-line-in-chart-js