JMP Add-Ins
Download and share JMP add-ins
This JMP Add-in is to transform non-normal quantitative trait data typically analyzed in Genome Wide Association Studies (GWAS). The method implemented is rank-based inverse normal transformation (INT). A simple interface is create to choose the traits to be transformed and then clicking OK to create new transformed columns (see screen shot below). The output is two sets of columns: 1) _INT...
This add-in contains tools for the analysis of data from Electrochemical Impedance Spectroscopy (EIS). It wraps functionality from the Python Package Impedance.py. After installing the add-in, run the attached script once to install the requisite Python Packages. This add-in uses the Python integration tools in JMP 18, it will not work in earlier versions. This add-in is still in active deve...
Note: This was previously called Column Filter (jthi.column.filter). Uninstall that version before installing this. This add-in lets you easily change multiple columns in your Graph Builder's Y- and/or X-axis. Requires JMP17. Demo video: (view in My Videos) Consider situation where you would like to see multiple different parameters at the same time in graph builder AND be able to easily ...
The attachment to this post is set of JMP Workflows that replicate the analysis and output of what use to be performed in JMP Genomics Basic Expression Analysis Workflow. There is example data and JMP Projects that can assist in running these workflows. A Word document is included describing each workflow and what you need to do in order make the JMP Workflows work for your data set. Please leave...
GxE Interaction analysis on genetic and environmental data use to be available in JMP Genomics. Now, the AMMI model and various graphs and tables can be produced within JMP using the attached script or JMP Workflow (put inside a JMP Project). There are also two example data sets included to see how the JSL script and JMP Workflow works. The Workflow contains notes in the script section to descr...
The Documentation add-in installs the individual PDF files for all JMP books, and the Documentation Library, which is a concatenation of all the books into one PDF. The add-in also installs a new menu from which all the local PDFs are available: Help > Documentation PDFs. Books that have not been translated are included in their English form. All the PDFs in the add-in are for the final produc...
This add-in conducts a hypothesis test for evidence of quadratic curvature in a factorial DOE with center points. It can help you decide if axial points should be added to the design to estimate the curvature of individual factors. Creation of this add-in was inspired by this JMPer Cable post by my colleague @MikeD_Anderson, which is certainly worth a look if this add-in is relevant to you. The ...
These shape files are fairly easy to use. Just open the ...-XY.jmp files and edit the table variables so that they reflect the size of the wafer and the edge exclusion. The calculated X and Y coordinates will adjust for the given wafer size. Then follow the instructions here: Using Custom Map Shape Files to put them where Graph Builder will find them. Once they're installed, they can used ...
Purpose This Add-In replaces the fixed file name of the source script added automatically by JMP when opening a non-jmp file so it will open multiple file the same way. How to Use Open and configure the first file you want to import.Start the AddIn.Select the table.Select the "Source" table script.Click OK It will add a new table script or you can save it as a JSL file. Running it, opens th...
Purpose Calculating the area under the curve is common practice in various industries. The attached add-in automates the process of calculating this area for ONE or SEVERAL levels using Simpson's rule (also known as Simpson's 1/3 rule). https://en.wikipedia.org/wiki/Simpson%27s_rule How to Use For a multi-level example as shown below First open the JMP file, then click on the 'Area Under ...
日本語ネイティブ(自動翻訳ではない)で掲載しているJMPの技術関連情報サイトを一覧形式にしたアドインです。このアドインをインストールすると、JMPのメニューバー [アドイン] に、[JMP技術関連情報サイト] というメニューが追加されます。 その後にある項目([Webセミナー ライブ] など)をクリックすると、Webブラウザで該当のページが表示されます。 ※本アドインはJMP 9以上のWindows版、Machintosh版双方に対応しています。 アドインのインストール 本アドインは、以下の手順でインストールします。 本ページにあるファイル「JMPTechInfoJapan.jmpaddin」をダウンロードします。JMP を起動し、[ファイル] > [開く] からダウンロードしたファイルを選択して開くと、以下のウィンドウが表示されますので、[インストール] ボタンをク...
What if this imperfect gauge is used in production? How often will it make Type 1 vs Type 2 errors? What do those errors cost your company, in terms of money and in terms of diminished reputation (if bad parts are shipped)? Would it be wise to invest time and/or money in improving your gauge to mitigate these errors? These questions (and more) are answered with a new JMP add-in. To demonstrate t...
This add-in compares the properties of Levey-Jennings charts with Individual Measurement charts. For further details, consult the help document within the add-in, or the related Discovery presentation.
There are many OpenSource data sources that emerge everyday. One such data source is InfluxDB Their tag line is “We build cool stuff for developers who build cool stuff”. I happen to think that JMP is “cool stuff” but the question remains, “How can you integrate JMP’s ‘cool stuff’ with InfluxDB’s ‘cool stuff’”. Luckily, there are 2 specific cool stuffs that can make this happen. The first is th...
This add-in performs local control analysis along with several interactive graphical and statistical options. Local Control estimates treatment effects within clusters of subjects as described in Lopiano, Obenchain, and Young (2014). You can interactively select the number of clusters and cumulatively compare results. This kind of analysis is useful for handling subgroups in observational or ex...
Note that the “close table” scripts will close the data tables without prompting you to save them. Use with caution! Go to View -> Customize -> Menus and Toolbars Then under toolbars, right click on the last of the list and select “New Toolbar” JMP will create a new toolbar called “Untitled”. Click on it to edit the name. Input the location of the script to ...
Purpose This add-in is designed to produce an attractive graphical rendition of a process capability study, and to make it easy to perform analyses across multiple columns of data. How to Use Convenient navigation is delivered using a "wizard metaphor".Distribution fitting is automatically performed. You can control the alpha level at which choices are made (including the ability to force a n...
This add-in imports interactively Apache Parquet files (https://parquet.apache.org/) into JMP tables. It consists of two commands: Single file: select a single .parquet file, checks its validity, then after a confirmation message creates and opens the resulting JMP data table, or issues a warning message if the file is not valid;Multiple files: select a folder with all .parquet files and opens the...
This add-in was written by JMP development intern David Spruill. More details in his blog post (see below) about it.
The add-in lets you take an existing shape file and merge selected shapes together to create new shape files. Here is an example with US states merged into four regions.
Edit - 02June2023: The blog post listed above was archived. The article content is reposted below:
Wi...
Blog post:WebSocket This is a demo of using JSL->Python->WebSocket->Stackexchange to make a live GUI showing real-time updates at the stackexchange universe. Windows JMP 16 works. Mac untested. To look at the source code, either rename the .jmpaddin with a .zip extension, or install it and use JMP's View->Add-ins menu to navigate to the install folder. Update: the add-in now waits 1 second ...
2022 2020 Shapefiles for US 5 Digit Zipcodes pulled from US Census Gazetteer.
04May2023 - updated with the 2022 shape files
This add-in produces marginal model plots. Marginal model plots are used to assess the fit of a given model. These are philosophically similar to the Marginal Model Plots produced under the Variable Importance outline in the Profiler, but they are calculated differently (based on the LOESS methodology), whereas those under Variable Importance are computed using a sobol-based decomposition method....
The Benjamini-Hochberg False Discovery Rate PValue adjustment is a very simple way to control for the rate of false positives among many tests (usually assumed to be independent or positively correlated). For lots of PValues showing in a window in similar report tables, it is fairly easy to use right-click Make Combined Data Table to get those PValues into a data table; then you can use this add...