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    <title>topic Re: Exponential fit in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/15000#M13918</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think you might be looking for something like this. First, here's a plot of your data that you want to fit.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10273_pastedImage_0.png" style="width: 396px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2356i640728C688FC3538/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10273_pastedImage_0.png" alt="10273_pastedImage_0.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;By clicking Analyze&amp;gt;Modeling&amp;gt;Nonlinear, you get the following dialog box.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10274_pastedImage_1.png" style="width: 877px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2357i735CFEFE5D489BC5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10274_pastedImage_1.png" alt="10274_pastedImage_1.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Click the Model Library button and you'll see a variety of built-in models. You can even add your own custom formulas by editing a dll although I forget which one off the top of my head.&amp;nbsp; There's one titles First Order Decay Kinetics and you can view the formula as well as a graph with sliders as seem below.&amp;nbsp; You can click the 'Make Formula' button on the left graph and a new dialog appears asking you to input the x and y variables.&amp;nbsp; Once that is done the selected decay formula with be shown with your data as well as more sliders for 'What-If' scenarios. These can be used as your initial estimates for theta1 and theta2 which you must provide for a nonlinear fit.&amp;nbsp; Now you have a new column in your JMP data set containing the formula with initial estimates. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10276_pastedImage_3.png" style="width: 959px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2358i5AD71C271C7280E5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10276_pastedImage_3.png" alt="10276_pastedImage_3.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Go back to Analyze&amp;gt;Modeling&amp;gt;Nonlinear, fill in the following and click 'OK'.&amp;nbsp; I took the liberty of editing the formula such that there was no theta3 parameter (i.e., assuming it can't go below zero). &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10277_pastedImage_4.png" style="width: 879px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2359iDAEC098365ED1F7C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10277_pastedImage_4.png" alt="10277_pastedImage_4.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You'll get the following.&amp;nbsp; Click 'Go' and you'll see the 'best' fit based on the starting parameters and method of convergence.&amp;nbsp; You can save the prediction formula by accessing the red triangle.&amp;nbsp; Now you have your formula saved in the original table. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10278_pastedImage_5.png" style="width: 524px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2360i21979F521CD64CFA/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10278_pastedImage_5.png" alt="10278_pastedImage_5.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Hope this helps.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Dave&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 19 Oct 2016 01:03:01 GMT</pubDate>
    <dc:creator>DaveLee</dc:creator>
    <dc:date>2016-10-19T01:03:01Z</dc:date>
    <item>
      <title>Exponential fit</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14996#M13914</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A name="193290" style="color: #666666; font-family: Arial, Helvetica, sans-serif; font-size: 14.4px; background-position: initial;" target="_blank"&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;I just want fo fit an exponential curve to my &lt;STRONG style="text-decoration: underline;"&gt;XY&lt;/STRONG&gt; data.&amp;nbsp; The Online Documentation indicates ''To launch the Nonlinear platform, select &lt;SPAN class="command" style="color: #666666; font-family: Arial, Helvetica, sans-serif; font-size: 14.4px;"&gt;Analyze &amp;gt; Modeling &amp;gt; Nonlinear''. However, in ''Modeling'' I only have 2 choices (Partition and Time series). Is that normal? I have JMP 12 Mac. Thanks!&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here are my data:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;TABLE border="0" cellpadding="0" cellspacing="0" style="width: 168pt;" width="168"&gt;&lt;TBODY&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD height="15" style="height: 15.0pt; width: 65pt;" width="65"&gt;x&lt;/TD&gt;&lt;TD style="width: 103pt;" width="103"&gt;y&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;24&lt;/TD&gt;&lt;TD class="xl64"&gt;0.06&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;22&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;0.29&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;22&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;0.29&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;21&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;0.37&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;20&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;1.76&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;21&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;0.36&lt;/TD&gt;&lt;/TR&gt;&lt;TR style="height: 15.0pt;"&gt;&lt;TD class="xl63" height="15" style="height: 15.0pt;"&gt;22&lt;/TD&gt;&lt;TD class="xl64" style="border-top: none;"&gt;0.21&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10256_pastedImage_4.png" style="width: 169px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2347i1A94308178C5CDE8/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10256_pastedImage_4.png" alt="10256_pastedImage_4.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Message was edited by: Caroline Bouchard&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 01:01:16 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14996#M13914</guid>
      <dc:creator>carob810</dc:creator>
      <dc:date>2016-10-19T01:01:16Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential fit</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14997#M13915</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;To perform curve fitting, use the Distribution platform. In the Distribution dialog, the data you wish to fit the curve to will be your Y value (Y, columns). Once you get the Distribution report, click on the drop menu (inverted red triangle) for the Y value you selected and you will see the option Continuous Fit and the submenu will contain the appropriate distributions that you may fit to your data.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 22 Oct 2015 17:15:24 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14997#M13915</guid>
      <dc:creator>mdawson69</dc:creator>
      <dc:date>2015-10-22T17:15:24Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential fit</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14998#M13916</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The behaviour you are describing is due to your preference settings. Under File &amp;gt; Preferences &amp;gt; Menu make sure the advanced modelling option is checked.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can do simple fits such as this using the fit-y-by-x platform. I made a new column called -x, with a formula (x*-1). From the bivariate hotspot choose Fit Special... and then under X Transformations: Exponential: e^x.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10259_224312reply.JPG" style="width: 483px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2349iF0B34DD6C932AF5C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10259_224312reply.JPG" alt="10259_224312reply.JPG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 01:01:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14998#M13916</guid>
      <dc:creator>stephen_pearson</dc:creator>
      <dc:date>2016-10-19T01:01:36Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential fit</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14999#M13917</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks Stephen. However I need the formula for the original data (not transformed ones) in a decay-style graph. Also, I'm wondering the exponential fit on transformed data has different (better) p and adjustedR2 than the exponential fit on the original data (I obtained that with sigmaplot) ? Are they not supposed to be equivalent???&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 23 Oct 2015 14:59:45 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/14999#M13917</guid>
      <dc:creator>carob810</dc:creator>
      <dc:date>2015-10-23T14:59:45Z</dc:date>
    </item>
    <item>
      <title>Re: Exponential fit</title>
      <link>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/15000#M13918</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think you might be looking for something like this. First, here's a plot of your data that you want to fit.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10273_pastedImage_0.png" style="width: 396px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2356i640728C688FC3538/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10273_pastedImage_0.png" alt="10273_pastedImage_0.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;By clicking Analyze&amp;gt;Modeling&amp;gt;Nonlinear, you get the following dialog box.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10274_pastedImage_1.png" style="width: 877px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2357i735CFEFE5D489BC5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10274_pastedImage_1.png" alt="10274_pastedImage_1.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Click the Model Library button and you'll see a variety of built-in models. You can even add your own custom formulas by editing a dll although I forget which one off the top of my head.&amp;nbsp; There's one titles First Order Decay Kinetics and you can view the formula as well as a graph with sliders as seem below.&amp;nbsp; You can click the 'Make Formula' button on the left graph and a new dialog appears asking you to input the x and y variables.&amp;nbsp; Once that is done the selected decay formula with be shown with your data as well as more sliders for 'What-If' scenarios. These can be used as your initial estimates for theta1 and theta2 which you must provide for a nonlinear fit.&amp;nbsp; Now you have a new column in your JMP data set containing the formula with initial estimates. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10276_pastedImage_3.png" style="width: 959px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2358i5AD71C271C7280E5/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10276_pastedImage_3.png" alt="10276_pastedImage_3.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Go back to Analyze&amp;gt;Modeling&amp;gt;Nonlinear, fill in the following and click 'OK'.&amp;nbsp; I took the liberty of editing the formula such that there was no theta3 parameter (i.e., assuming it can't go below zero). &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10277_pastedImage_4.png" style="width: 879px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2359iDAEC098365ED1F7C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10277_pastedImage_4.png" alt="10277_pastedImage_4.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You'll get the following.&amp;nbsp; Click 'Go' and you'll see the 'best' fit based on the starting parameters and method of convergence.&amp;nbsp; You can save the prediction formula by accessing the red triangle.&amp;nbsp; Now you have your formula saved in the original table. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="10278_pastedImage_5.png" style="width: 524px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/2360i21979F521CD64CFA/image-size/medium?v=v2&amp;amp;px=400" role="button" title="10278_pastedImage_5.png" alt="10278_pastedImage_5.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Hope this helps.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Dave&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 19 Oct 2016 01:03:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Exponential-fit/m-p/15000#M13918</guid>
      <dc:creator>DaveLee</dc:creator>
      <dc:date>2016-10-19T01:03:01Z</dc:date>
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