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

Example Fonts



Show Code

Tools

<!-- 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/canvasXpress.min.js"></script>


<!-- 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" : [
          [0,179.5],
          [5,168.7],
          [8,158.1],
          [11,149.2],
          [15,141.7],
          [18,134.6],
          [22,125.4],
          [25,123.5],
          [30,116.3],
          [34,113.2],
          [38,109.1],
          [42,105.7],
          [45,102.2],
          [50,100.5]
        ],
        "smps" : ["Time","Temp"],
        "vars" : ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10","S11","S12","S13","S14"]
     }
  }
  
  
  <-- Create the configuration for the graph -->
  var config = {
     "decorations":{
        "exponential":[
           {
              "color":"red"
           }
        ]
     },
     "graphType":"Scatter2D",
     "showDecorations":"true",
     "showLegend":"false",
     "theme":"CanvasXpress"
  }
  

  <!-- Call the CanvasXpress function to create the graph -->
  var cX = new CanvasXpress("canvasId", data, config);


</script>