NonLinear-Fit Chart
In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations.
Example Color Themes
<head>
<!-- Include the CanvasXpress library in your HTML file -->
<link rel="stylesheet" href="https://www.canvasxpress.org/dist/canvasXpress.css" type="text/css"/>
<script src="https://www.canvasxpress.org/dist/canvasXpress.min.js"></script>
</head>
<body>
<!-- Create a canvas element for the chart with the desired dimensions -->
<div>
<canvas id="canvasId" width="600" height="600"></canvas>
</div>
<!-- Create a script to initialize the chart -->
<script>
// Create the data for the graph
var data = {
"y" : {
"data" : [
[0,2],
[1,4],
[2,7],
[3,7],
[4,19],
[5,20],
[6,43],
[7,51],
[8,74],
[9,81],
[10,75],
[11,117],
[12,100],
[13,84],
[14,90],
[15,54],
[16,43],
[17,47],
[18,34],
[19,24],
[20,11],
[21,7],
[22,4],
[23,2]
],
"smps" : ["X","Y"],
"vars" : ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10","S11","S12","S13","S14","S15","S16","S17","S18","S19","S20","S21","S22","S23","S24"]
}
}
// Create the configuration for the graph
var config = {
"graphType":"Scatter2D",
"showDecorations":true,
"showLegend":false,
"theme":"CanvasXpress",
"xAxis":[
"X"
],
"yAxis":[
"Y"
]
}
// Call the CanvasXpress function to create the graph
var cX = new CanvasXpress("canvasId", data, config);
// Functions after rendering graph
cX.addNormalDistributionLine();
</script>
</body>
