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| <h1 class="firstHeading">1.15 2D Confidence Ellipse (Pro)</h1><p class='urlname' style='display: none'>2D-Confidence-Ellipse</p> | ||
| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>The <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=365" target="_blank">2D Confidence Ellipse app</a> can be used to add confidence ellipse to 2D scatter plot | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <ol><li> Start this tutorial with the app <b>2D Confidence Ellipse</b> installed. If you have not installed this app, please click Add Apps button in <b>Apps Gallery</b> to open <b>App Center</b> to search and install the app.</li> | ||
| <li> New a worksheet, click <b>Data > Connect to File : Text/CSV</b> to import the sample file <i><Origin Porgram Folder>\Samples\Statistics\Fisher's Iris Data.dat</i> | ||
| <dl><dd><a class="image"><img alt="2D Confidence Ellipse 01.jpg" src="../images/2D_Confidence_Ellipse/2D_Confidence_Ellipse_01.jpg?v=72500" width="503" /></a></dd></dl></li> | ||
| <li> Highlight col(A) and col(B) to plot a scatter graph. Click on the scatter plot, within the popup mini toolbar, click Symbol Edge Color button to set the color of symbols to '<i>By Points</i> and index to Col(E). | ||
| <dl><dd><a class="image"><img alt="2D Confidence Ellipse 02.jpg" src="../images/2D_Confidence_Ellipse/2D_Confidence_Ellipse_02.jpg?v=72501" width="532" /></a></dd></dl></li> | ||
| <li> With the graph activated, click the app icon <b>2D Confidence Ellipse</b> to open the app dialog. Check the check box <b>Show The Ellipse Parameters on the Graph</b> to show the parameters on the graph. | ||
| <dl><dd><a class="image"><img alt="2D Confidence Ellipse 03.jpg" src="../images/2D_Confidence_Ellipse/2D_Confidence_Ellipse_03.jpg?v=72502" width="640" /></a></dd></dl></li> | ||
| <li> Click OK button to create the ellipses for these three groups of the scatter points. | ||
| <dl><dd><a class="image"><img alt="2D Confidence Ellipse 04.jpg" src="../images/2D_Confidence_Ellipse/2D_Confidence_Ellipse_04.jpg?v=72503" width="770" /></a></dd></dl></li></ol> | ||
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src/books/en/App/App/2D_Correlation_Spectroscopy_Analysis.html
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| <h1 class="firstHeading">2.39 2D Correlation Spectroscopy Analysis (Pro)</h1><p class='urlname' style='display: none'>2D-Correlation-Spectroscopy-Analysis</p> | ||
| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>This <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=497" target="_blank">2D Correlation Spectroscopy Analysis app</a> can be used to calculates synchronous and asynchronous correlation spectra from one set of dynamic spectra (homo correlation) or two sets of dynamic spectra (hetero correlation) induced by perturbation. | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <p>This tutorial uses App’s built-in sample project. To open this sample OPJU file: | ||
| </p> | ||
| <ol> | ||
| <li> Right click the 2D Correlation Spectroscopy Analysis App icon in the Apps Gallery and choose <b>Show Samples Folder</b>. | ||
| <li> A folder will open. Drag-and-drop the project file <i>2DCorrSpecSample.opju</i> from the folder onto Origin. | ||
| </ol> | ||
| <table class="note"> | ||
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| <tr> | ||
| <td><b>Notes:</b> If you want to save the project after changing, it is recommended saving to a different folder location (e.g. <b>User Files Folder</b>). | ||
| </td></tr></table> | ||
| <h3><a name="Steps"></a><span class="mw-headline">Steps</span></h3> | ||
| <ol> | ||
| <li><i>[Book1]Sheet1</i> contains 5 spectra datasets measured at different temperatures. Spectra datasets are arranged in <i>XYY</i> structure and the temperature values are stored in Comments row as perturbation values. We want to calculate the synchronous correlation spectra from homo correlation dynamic spectra. | ||
| <li> Click 2D Correlation Spectroscopy Analysis App icon in the Apps Gallery to open the dialog. | ||
| <li>Set 'as following in the dialog: | ||
| <ul><li><b>Correlation Type</b> = <b>Homo Correlation</b> </li> | ||
| <li> <b> Spectral Variables</b> set to <i><b>column A</b></i></li> | ||
| <li> <b>Dynamic Spectra</b> set to <i><b>column B - F</b></i></li> | ||
| <li><b>Reference Spectrum</b> = <b>Average</b> </li> | ||
| <li><b>Identify Perturbation by</b> = <b>Comments</b> </li> | ||
| <li><b>Scaling</b> = <b>Custom</b></li> | ||
| <li><b>Scaling Factor</b> = <b>0.27</b></li> | ||
| <li><b>Correlation Spectra</b> = <b>Synchronous</b> </li></ul> | ||
| <br />Click <b>Preview</b> button. | ||
| <dl><dd><a class="image"><img alt="2D Correlation Spectroscopy Analysis 1.png" src="../images/2D_Correlation_Spectroscopy_Analysis/2D_Correlation_Spectroscopy_Analysis_1.png?v=70501" width="803" /></a></dd></dl> | ||
| <li> Click <b>OK</b> to output results and create a contour graph. | ||
| </ol> | ||
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| <h1 class="firstHeading">2.43 2D Peak Analysis(Pro)</h1><p class='urlname' style='display: none'>2D-Peak-Analysis</p> | ||
| <div id="toc" class="toc"><div id="toctitle"><h2>Contents</h2></div> | ||
| <ul> | ||
| <li class="toclevel-1 tocsection-1"><a href="#Summary"><span class="tocnumber">1</span> <span class="toctext">Summary</span></a></li> | ||
| <li class="toclevel-1 tocsection-2"><a href="#Tutorial"><span class="tocnumber">2</span> <span class="toctext">Tutorial</span></a></li> | ||
| </ul> | ||
| </div> | ||
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| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>The App <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=551" target="_blank"><b>2D Peak Analysis</b></a> is used to perform 2d peak fitting, and integrate each peak fitted data. | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <ol><li>Download the <a class="external text" href="http://blog.originlab.com/wp-content/uploads/2022/12/2D_Peak_Analysis_Sample.zip" target="_blank">sample file</a> and unzip the file to get one Origin matrix book file(.ogmu file).</li> | ||
| <li>Start this tutorial with the app <b>2D Peak Analysis</b> installed. If you have not installed this app, please click <b>Add Apps</b> button in <b>Apps Gallery</b> to open <b>App Center</b> to search and install the app.</li> | ||
| <li>Open the ogmu file you just downloaded, in this matrix book, there are two matrix objects, and the first object has been selected. Click the app icon to open the dialog. | ||
| <dl><dd><a class="image"><img alt="2D Peak Analysis App 01.png" src="../images/2D_Peak_Analysis/2D_Peak_Analysis_App_01.png?v=71227" width="769" /></a></dd></dl></li> | ||
| <li>In the dialog, select function "Gaussian2D" as <b>Peak Type</b>; Set <b>Number of Replicas</b> to <i>2</i>; select <b>Minimum</b> for <b>Baseline</b> option. | ||
| <dl><dd><a class="image"><img alt="2D Peak Analysis App 02.png" src="../images/2D_Peak_Analysis/750px-2D_Peak_Analysis_App_02.png?v=71229" width="750" /></a></dd> | ||
| <dd> As you can see, three peaks have been found and marked in the right <b>Preview</b> panel. The integration results of current peak (the peak you selected in <b>Current Peak</b> drop-down list) has been shown under the dialog controls, and the parameter results has been shown in the following table.</dd></dl></li> | ||
| <li> Click the button <b>Report Settings</b> at the bottom of dialog to specify the output result items. | ||
| <dl><dd><a class="image"><img alt="2D Peak Analysis App 03.png" src="../images/2D_Peak_Analysis/750px-2D_Peak_Analysis_App_03.png?v=71231" width="750" /></a></dd> | ||
| <dd> For more details about these results, you can refer to <a class="external text" href="../../UserGuide/UserGuide/Settings_Tab_Upper_Panel.html#Advanced">NLFit Dialog</a> and <a class="external text" href="../../UserGuide/UserGuide/The_Surface_Integration_Gadget_Pro.html">2D Integration Gadget</a>. </dd></dl></li> | ||
| <li>Click <b>Back</b> buttont to go back to the main dialog panel. </li> | ||
| <li>Click <b>Fit</b> button to fit these surface peaks. A message shown at the bottom says the fit has converged. Please note, if you want to check the fit status of the other source objects, you use the <b>Previous Data</b> and <b>Next Data</b> button to navigate the matrix objects in the source matrix sheet.</li> | ||
| <li>Click <b>OK</b> button to output the fitting results. | ||
| <dl><dd><a class="image"><img alt="2D Peak Analysis App 04.png" src="../images/2D_Peak_Analysis/800px-2D_Peak_Analysis_App_04.png?v=71232" width="800" /></a></dd> | ||
| <dd> Each source object will has a report workbook and three result matrix sheets appended to the source matrix book.</dd></dl></li></ol> | ||
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| <h1 class="firstHeading">1.20 2D Smoother</h1><p class='urlname' style='display: none'>2D-Smoother</p> | ||
| <table class="simple" style="width: 80%"> | ||
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| <tr style="vertical-align: top;"> | ||
| <td> <a class="image"><img alt="Video Image.png" src="../images/2D_Smoother/Video_Image.png?v=58041" width="33" /></a> <a class="image"><img alt="Video Text Image.png" src="../images/2D_Smoother/Video_Text_Image.png?v=64565" width="135" /></a> | ||
| <ul><li> <a class="external text" href="https://youtu.be/nmjDT517xz8" target="_blank">2D Smoother App</a></li></ul> | ||
| </td></tr></table> | ||
| <div id="toc" class="toc"><div id="toctitle"><h2>Contents</h2></div> | ||
| <ul> | ||
| <li class="toclevel-1 tocsection-1"><a href="#Summary"><span class="tocnumber">1</span> <span class="toctext">Summary</span></a></li> | ||
| <li class="toclevel-1 tocsection-2"><a href="#Tutorial"><span class="tocnumber">2</span> <span class="toctext">Tutorial</span></a> | ||
| <ul> | ||
| <li class="toclevel-2 tocsection-3"><a href="#Smooth_a_Curve"><span class="tocnumber">2.1</span> <span class="toctext">Smooth a Curve</span></a></li> | ||
| <li class="toclevel-2 tocsection-4"><a href="#Fit_Single_Dataplot"><span class="tocnumber">2.2</span> <span class="toctext">Fit Single Dataplot</span></a></li> | ||
| <li class="toclevel-2 tocsection-5"><a href="#Combine_Two_Dataplots_and_Add_one_Trendline"><span class="tocnumber">2.3</span> <span class="toctext">Combine Two Dataplots and Add one Trendline</span></a></li> | ||
| </ul> | ||
| </li> | ||
| </ul> | ||
| </div> | ||
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| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>The <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=434" target="_blank">2D Smoother app</a> lets you perform smoothing of XY data plots on a graph. The App can operate on a single data plot, or on multiple data plots by internally combining the data. | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <p>Start this tutorial with the app <b>2D Smoother</b> installed. If you have not installed this app, please click Add Apps button in <b>Apps Gallery</b> to open <b>App Center</b> to search and install the app. And, download <a class="external text" href="http://blog.originlab.com/wp-content/uploads/2023/01/2D_Smoother_Sample_Data.zip" target="_blank">this sample file</a> and open it in Origin. | ||
| </p><p>Now, we are going to use this app to complete three tasks in the sample project you just download. | ||
| </p> | ||
| <h3><a name="Smooth_a_Curve"></a><span class="mw-headline">Smooth a Curve</span></h3> | ||
| <ol><li> Choose the subfolder "Smooth" in the Project Explorer to open the source graph "Graph3". Here we have a scatter plot of variable temperatures for one year. Iet's add a smoothed line to the scatter plot. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 01.png" src="../images/2D_Smoother/750px-2D_Smoother_01.png?v=71630" width="750" /></a></dd></dl></li> | ||
| <li> Click the app icon to open <b>2D Smoother</b>. Switch to the last tab <b>Smoothed Line</b>. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 02.png" src="../images/2D_Smoother/750px-2D_Smoother_02.png?v=71631" width="750" /></a></dd></dl></li> | ||
| <li> Change the line color to dark blue and set <b>Smoothing Method</b> to <b>Lowess</b>. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 03.png" src="../images/2D_Smoother/750px-2D_Smoother_03.png?v=71649" width="750" /></a></dd></dl></li> | ||
| <li> Click OK button. Not only is the curve added to the graph but the xy dataset for the smoothed line is added to a new worksheet. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 04.png" src="../images/2D_Smoother/750px-2D_Smoother_04.png?v=71650" width="750" /></a></dd></dl></li></ol> | ||
| <h3><a name="Fit_Single_Dataplot"></a><span class="mw-headline">Fit Single Dataplot</span></h3> | ||
| <ol><li> Choose the subfolder "Connect or Fit Single Dataplot" in the <b>Project Explorer</b> to open the source graph "Smoothing Example". As you can see, we have a multi-axis graph where each dataset plots on a different layer. We are going to add trendline to the curve in second layer.</li> | ||
| <li> Click the layer icon of layer 2 to activate the plot in it. And then, click app icon to open the app. </li> | ||
| <li> Swicth to the <b>Trendline</b> tab. Set <b>Trend Type</b> to <b>Polynomial</b> and <b>Order</b> to <b>4</b>. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 05.png" src="../images/2D_Smoother/750px-2D_Smoother_05.png?v=71657" width="750" /></a></dd></dl></li> | ||
| <li> Click OK button. A result XY dataset, a red trendline and a polynomial function will be added. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 06.png" src="../images/2D_Smoother/750px-2D_Smoother_06.png?v=71658" width="750" /></a></dd></dl></li></ol> | ||
| <h3><a name="Combine_Two_Dataplots_and_Add_one_Trendline"></a><span class="mw-headline">Combine Two Dataplots and Add one Trendline</span></h3> | ||
| <ol><li> Choose the subfolder "Combine Dataplots" in the <b>Project Explorer</b> to open the source graph "Graph2". This graph has three datasets plotted in one layer. Now let's add a trendline that combines the versicolor and virginica datasets. </li> | ||
| <li> Click the app icon to open the app, turn on <b>Combine&Sort</b> switch and select "Versicolor" and "Virginica" curve. Go to Trendline tab, keep the default setting. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 07.png" src="../images/2D_Smoother/2D_Smoother_07.png?v=71660" width="734" /></a></dd></dl></li> | ||
| <li> Click <b>OK</b> button to add a trendline for two curves sorted and combined. | ||
| <dl><dd><a class="image"><img alt="2D Smoother 08.png" src="../images/2D_Smoother/2D_Smoother_08.png?v=71661" width="671" /></a></dd></dl></li></ol> | ||
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| <h1 class="firstHeading">2.20 3D Convex Hull</h1><p class='urlname' style='display: none'>3D-Convex-Hull</p> | ||
| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>The <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=356" target="_blank">3D Convex Hull</a> app is used to calculate the convex hull envelope (boundary) for a given set of XYZ scatter points. | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <p>In this tutorial, we will generate a set of random data points and use 3D Convex Hull app to plot the convex hull envelope and output its volume and area. | ||
| </p> | ||
| <ol> | ||
| <li> Start from a new project. With the empty worksheet active, click <b>Add New Column</b> button <a class="image"><img alt="Add New Column button.png" src="../images/3D_Convex_Hull/Add_New_Column_button.png?v=74412" width="22" /></a> on the <b>Standard</b> toolbar to add a third column. Click on this new column and select <b>Set as Z</b> button <a class="image"><img alt="Set as Z button.png" src="../images/3D_Convex_Hull/Set_as_Z_button.png?v=74413" width="24" /></a> from the popped-up mini toolbar. | ||
| <li> Highlight all 3 columns and click button <a class="image"><img alt="Set Column Values with Uniform Random Numbers button.png" src="../images/3D_Convex_Hull/Set_Column_Values_with_Uniform_Random_Numbers_button.png?v=74418" width="22" /></a> on the <b>Standard</b> toolbar to set column values with uniform random numbers. Now we have a set of XYZ data. | ||
| <dl><dd><a class="image"><img alt="3D Convex Hull App Source Worksheet.png" src="../images/3D_Convex_Hull/3D_Convex_Hull_App_Source_Worksheet.png?v=74414" width="386" /></a></dd></dl> | ||
| <li> Highlight all 3 columns and select menu <b>Plot</b> > <b>3D: 3D Scatter</b> to plot a 3D Scatter graph. | ||
| <li> With the graph active, click <b>3D Convex Hull</b> app icon <a class="image"><img alt="3D Convex Hull button.png" src="../images/3D_Convex_Hull/3D_Convex_Hull_button.png?v=74434" width="32" /></a> from App Gallery. A <b>Convex_Hull_3D</b> dialog will open. The 3D Scatter is auto-picked as Input XYZ. | ||
| <dl><dd><a class="image"><img alt="3D Convex Hull App Dialog.png" src="../images/3D_Convex_Hull/3D_Convex_Hull_App_Dialog.png?v=74415" width="406" /></a></dd></dl> | ||
| <li> Click <b>OK</b> button to plot the convex hull as a 3D Surface onto the source graph directly. And the calculated Volume and Surface Area will be output to Results Log. | ||
| <dl><dd><a class="image"><img alt="3D Convex Hull App Result.png" src="../images/3D_Convex_Hull/3D_Convex_Hull_App_Result.png?v=74416" width="816" /></a></dd></dl> | ||
| </ol> | ||
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| <h1 class="firstHeading">2.26 3D Smoother</h1><p class='urlname' style='display: none'>3D-Smoother</p> | ||
| <div class="toclimit-2"><div id="toc" class="toc"><div id="toctitle"><h2>Contents</h2></div> | ||
| <ul> | ||
| <li class="toclevel-1 tocsection-1"><a href="#Summary"><span class="tocnumber">1</span> <span class="toctext">Summary</span></a></li> | ||
| <li class="toclevel-1 tocsection-2"><a href="#Tutorial"><span class="tocnumber">2</span> <span class="toctext">Tutorial</span></a></li> | ||
| </ul> | ||
| </div> | ||
| </div> | ||
| <h2><a name="Summary"></a><span class="mw-headline">Summary</span></h2> | ||
| <p>The <a class="external text" href="https://www.originlab.com/fileExchange/details.aspx?fid=415" target="_blank">3D Smoother</a> app can be used to smooth 3D data from XYZ columns or a matrix. | ||
| </p> | ||
| <h2><a name="Tutorial"></a><span class="mw-headline">Tutorial</span></h2> | ||
| <ol> | ||
| <li>Import <b>XYZ Random Gaussian.dat</b> in the <i><Origin EXE Folder>\Samples\Matrix Conversion and Gridding\</i> folder. | ||
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| <li>Right-click on Column C in the Worksheet, and select <b>Set As: Z</b> in the context menu. Select all columns in the worksheet, and then select <b>Plot: 3D: 3D Colormap Surface</b> menu to make a 3D Surface plot. Now, we want to smooth this 3D surfuce. | ||
| <dl><dd><a class="image"><img alt="3D Smoother 01.png" src="../images/3D_Smoother/3D_Smoother_01.png?v=70993" width="840" /></a></dd></dl> | ||
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| <li>Select all columns in the worksheet again, click <b>3D Smoother</b> icon <a class="image"><img alt="3D Smoother icon.png" src="../images/3D_Smoother/50px-3D_Smoother_icon.png?v=70989" width="50" /></a> from the Apps panel of Origin to open the app's dialog box. | ||
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| <li>In the dialog, select <b>Loess</b> as <b>Smoother</b> method. Uncheck <b>Grid Settings</b> and <b>Plot Raw Data</b> option. Click <b>OK</b>. | ||
| <dl><dd><a class="image"><img alt="3D Smoother 02.png" src="../images/3D_Smoother/3D_Smoother_02.png?v=70990" width="696" /></a></dd></dl> | ||
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| <li>You will get the smoothed data and 3D plot. | ||
| <dl><dd><a class="image"><img alt="3D Smoother 03.png" src="../images/3D_Smoother/3D_Smoother_03.png?v=70991" width="808" /></a></dd></dl> | ||
| </ol> | ||
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