JMP Add-Ins
Download and share JMP add-ins
This add-in helps you analyze and compare multiple bioassay curves fit with a 4-Parameter or 5-Parameter Logistic (4PL/5PL) model. It calls the Nonlinear platform behind the scenes to fit the models to each curve and then creates a variety of graphical and tabular results. The add-in contains two routines, Fit Curves and Test Parallelism. Details about them are available by clicking Add-Ins...
Optimal designs with near-orthogonal quadratic terms? It's possible and easy with ODA designs and this add-in!
Add-In Manager enables you to easily build and re-build Add-In files, manage versions of an add-in over time, directly access source files, have extra customizations for your add-in, and deploy your add-ins out to your users.
New for JMP 17 Pro: An Autotune option makes it even easier to automatically tune hyperparameters using a Fast Flexible Filling design. The XGBoost add-in for JMP Pro provides a point-and-click interface to the popular XGBoost open-source library for predictive modeling with extreme gradient boosted trees. Value-added functionality of this add-in includes: • Repeated k-fold cross validat...
Recently I was contacted by a customer asking if there was an easy way to do image analysis in a batch mode. They were familiar with the Image Analyzer but that is an interactive GUI based way of analyzing images. This customer had hundreds of images to process and really just wanted to use JMP to calculate some statistic about each image. To do this in an interactive mode would take a lot of time...
Purpose
The AddIn provides a GUI to automatically create normalized columns.
For further details, please go to the JMP Marketplace.
Use Tukey HSD even with unequal variances!
This JMP Add-in takes Spec Limits and any of the 23 different types of Control Limits (i.e. XBar, S, Moving Range, etc.) that are in a separate data table (I call it a Limits Table) and populates the appropriate limits column properties in a JMP Data Table. As stated above, the “Limits Table” is just a JMP table. To be a valid Limits Table, it must have a column that contains the names of the col...
Hi, Sometimes I have to combine a lot of excel files. But "Import multiple files" menu would not work for excel files properly. So I wrote a JSL for it and I would like to share it here. It starts with select an excel file and open it using excel import wizard. Then the script gets import settings and files list in the directory. Finally, open all excel files (.xls, xlsx, xlsm) in the directory a...
When run, this addin prompts the user to point to an Excel file created by the Analytic Maturity Assessment Survey. The addin then presents a variety of reports useful in characterizing survey results. For more information on the workflow analysis and assessment, please reach out to your account team.
The Preferences Manager Add-In allows you to save, export, import, and switch between preference profiles. A preference profile stores all customizations you have made in the JMP Preferences (e.g. platform and report settings, graph settings, colors, styles, etc). Basic Use: When you first install and launch the Preference Manager from the Add-Ins menu, you will not have any saved profiles. ...
This add-in constructs Venn diagrams with either constant or proportional areas. The former accommodate up to five variables and the latter are limited only by the distribution of the counts corresponding to the variables. The proportional-area diagrams call methods kindly provided by Lee Wilkinson and documented in his paper “Exact and Approximate Area-proportional Circular Venn and Euler Dia...
This add-in combines a number of visualizations related to consumer analytics, including Spider Plots, a multivariate plot on normalized values (riffing on @danschikore's RadViz add-in), a parallel plot, and pairwise correlation analysis. The add-in installs as "Parker Analysis" (e.g. Peter Parker) under the add-in menu. The setup is straight forward - just drop the variables of interest in...
This Add-In allows you to define and check the physical units of your columns and then convert them to different units. For example, define a column in milliliters/hectare and then convert it, along with all its column properties, to floz/acre. JMP already has an existing Units Column Property that documents these physical units and shows them in the Data Table and on graphs. This Add-In extend...
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...
このアドインは、日本語のテキストを分析するためのアドインです。このアドインは、他の言語では動作しません。 目的 [分析] > [テキストエクスプローラ]の日本語の前処理や可視化の機能を補完、拡張するためのアドインです。以下のようなことが可能です。 分析対象とする日本語の品詞を指定する名詞句のみを分析対象として指定する 共起ネットワークの描画 このアドインは、JMP 18のPythonインテグレーションの機能を利用しています。日本語の前処理は、spaCy、GiNZA , ja-ginzaを使用しています。共起ネットワーク描画のための前処理に、NetworkX を使用しています。 スクリーンショット 使い方 テキストデータが含まれる列は、尺度を「非構造化テキスト」に変更しておきます(該当の列を選択後、[列] > [列情報]から変更)。「アドイン」>「日本語テキスト分析...
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 allows users to estimate a specific indirect effect in the structural equation models (SEM) platform along with its bootstrapped standard error. After downloading and opening the file in JMP Pro, users will see a new option under the Add-Ins menu labeled "SEM Estimate Indirect Effect." Select this option and follow the instructions in the popup window. The add-in is useful when the S...
Modern Six Sigma Add-In is now available in JMP Marketplace! Please download it via Marketplace. The Modern Six Sigma Add-In for JMP appears to be a tailored tool designed to streamline the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) process within the JMP software environment. By offering a menu of shortcuts and integrating the relevant JMP tools, it simplifies the implementati...
To test the suitability of a factor as a predictor in tools like the Predictor Screening platform, you want to ensure that there is a suitable 'cut-off' point where you retain actual predictors and reduce the chance of overfitting. Adding columns with random values/distributions (ideally matching the distributions shown in the 'real' predictors) can provide suitable cut-off point in the Predicto...
This add-in can grab coordinates of an IP address along with other geographical information and put it into a JMP data table. It uses the GeoLite2 database data downloaded from MaxMind.com. You can take a column from a JMP table of IP Addresses and get another table with several peices of information about the IP Adresses location, including Logitude and Latitude. Currently, this only works for I...
UPDATES TO THIS ADD-IN WILL NOW BE AVAILABLE IN THE JMP MARKETPLACE You can find the new version of Spectris here: Spectris on the JMP Marketplace Purpose This add-in provides a needed bridge between the capabilities of the Nonlinear/Fit Curve platforms and Functional Data Explorer. It is designed to handle common spectroscopic tasks like background subtraction, automatic peak searches, curve ref...
HI everyone, I have been a little frustrated with the fact that JMP still does not have a GAM modeling platform (even if it exists in SAS for many years) so I decided to create an add-in that is based on the mgcv package in R. So to run this add-in you will need to have R v. 3.3.3 running on your computer. It basically creates a JMP dialog window with many of the options available in the R package...
このアドインについてシステム要件事前の準備使い方How to use this add-in このアドインについて マテリアルズ・インフォマティクス(MI)、ケモ・インフォマティクスのためのアドインです。マテリアルズ・インフォマティクスは、材料の開発や探索をより効率的にするために、機械学習などの情報科学の技術を活用する取り組みです。 分子を機械学習で扱う際の課題は、分子をコンピュータが解釈できる数値にどう変換するか、という点です。その一つの解決策として「フィンガープリント」があります。これは化合物の構造的な特徴を数値で表現したもので、特徴量とも呼ばれます。このような特徴量には、様々な記述子が提案されています。 このアドインでは、RDKitというライブラリを使って、SMILESからこれらの記述子を計算することができます。計算した記述子は予測モデルの説明変数として利用することが可能です。 この...