Learn JMP Events

Data Column Properties

In addition to the various attributes, data columns have properties associated with them. A column's properties affect how JMP uses it. Examples of column properties include formulas, notes, range and list checks, value labels, value order, axis specifications, and units. And there are many more properties with specialized applications. We'll illustrate the examples here as messages to ...

Tip: Using the Get Script Message to Learn Code

When you send the Get Script message to any JMP object, what's returned to the log is a script that will create an identical object. So this is a great way to learn the proper syntax. For example, you could add a property to a column interactively, and then send the Get Script message to get the code that creates that property. You can then use that code, or a modified version of it, in...

Working with Rows

Many of the operations you perform on data tables require selecting rows. Selecting rows is often necessary for the desired behavior with analysis and graphing platforms. So if you want to change the row states of some rows to hidden or excluded, for example, you need to select those rows first. Then you would send a message to the data table, and only the selected rows would respond. N...

Creating a New Data Table

You use the New Table function to create a new data table. Because there are no required arguments, you can create an empty, untitled data table by just using the function with nothing in the parentheses. But, there are several optional arguments that you'll typically use. The first unnamed argument is a character string that sets the name of the data table. There are also named argumen...

Working with Columns and Rows

This demonstration is going to illustrate how to manage data columns and data table rows. And I'll use a script to make a new data table with one column to start. So in the course journal in section I'm going to click Make New Data Table and Column. And you can see that we're using the new table function. We're going to store the data table object reference that this creates in the vari...

Overview of Data Matrices

So you've seen that data tables and columns are really powerful JMP objects that store data and have a lot of other responsibilities. They have extensive message protocols that make most actions easy to accomplish. But they also use a lot of overhead: data manipulation can require a lot of time, and sending messages can require a lot of code. Matrices, on the other hand, also store data...

Obtaining a Data Matrix

You can get numeric data from a data column by sending either the Get Values message or the Get As Matrix message to the column. The result of both of these is a column vector, or, a matrix that contains only a single column. You can also get the numeric data from all the numeric data columns in a data table by sending the Get As Matrix message to the data table. If there are columns wi...

Matrix Utility Functions

A useful utility function for matrices is the Loc function. This function takes a Boolean matrix as its argument, and returns a matrix with the locations, or positions, of all of the true elements in the matrix. Now, remember that JMP interprets zero as false and non-zero values as true. So if the argument supplied is simply a matrix, or a variable storing a matrix, the Loc function ret...

Using Matrices

So this demonstration is going to illustrate some of the ways that you can use matrices. So in the course journal in section I'm going to click on Cure Time Data. And let's suppose that we need to find the average cure time for each date. So we'll add up all of the cure time values in each row, and dividing by the number of samples. And I'm going to use matrices to perform this computat...

Overview of Tables

Now, in addition to storing your data and its metadata, the data table is responsible for data preparation using commands in the Tables, Rows, and Columns menus, or their equivalent messages in JSL. The data table is also responsible for launching the platforms for analysis and graphing. Sometimes, you only want to analyze or plot a specific subset of the data values that are stored in ...

Selecting and Subsetting Data

So in this demonstration, we'll look at selecting specific rows and using the subset command, which interactively is found in the Tables menu, to pull out a subset of the data table. So in the course journal in section I'm going to click on Ski Lodge Temperature Data. And this is a wide data table, but fairly short. And so our scenario here is that we have a ski resort that has a weathe...

Stacking Columns

Sometimes, you might need to combine the values from two or more columns into one column. This is known as stacking columns. The raw might data might be structured in such a way that there's a separate column for each group or category of a variable -- for example, the calories in beef versus poultry hot dogs. In JMP, if you want to compare the average calories of these two groups, you ...

Concatenating Tables

What if you want to add one or more data tables to an existing table? For example, maybe the raw data are stored in different tables for different groups, or for different periods of data collection, and you want to have a single table with all the rows together. You can send the Concatenate message to a data table to create a new table that has the data from one or more other data tabl...

Stacking and Concatenating

This demonstration shows two more commands from the Tables menu-- the Stack and Concatenate commands. So in section of the journal, I'm going to click on Cure Time Data again. And the organization of this table is that each cure time sample has its own separate column. And if I wanted to, for example, compare the averages of the five different cure times, that kind of analysis would wan...

Overview of JMP Platforms

JMP provides your analyses and plots through objects called platforms. Examples of platforms include Distribution, Bivariate, Fit Least Squares, and Graph Builder. JMP platforms combine related functionality and procedures. And you launch platforms with either the default settings, or with user preferences. After a platform is launched, a user can interact with it to further refine thei...

Launching the Analysis Layer

To launch a platform, you send a message to a data table. In return, you receive a reference to the analysis layer object. You can save this reference for later use. Let's take a look at an example. The message name identifies the platform. So in this example, the message name indicates the Bivariate platform. The arguments to the message cast columns into analysis roles and can specify...

Introduction to the Report Layer

The report layer of a platform also responds to messages, but you have to access it through a separate object reference. You obtain a reference to the report layer by sending the Report message to the analysis layer, or by calling the Report function with the reference to the analysis layer as its argument. So there are two examples shown here. In the first one, you send a Report messag...

Using the BY Role with Messages

Just about every platform in JMP includes an optional analysis role called the BY role. You can use this when you want to obtain separate analyses or graphs for every level or group in a column. For example, suppose you're working with the Big Class data table, and you want a separate bivariate fit of weight by height for each of the different age groups. When you put age in the BY role...

Enhancing Interaction with Platforms

Your script can enhance the analysis by adding a column switcher or a local data filter to the platform used by your script. So, you can include the Local Data Filter argument or the Column Switcher argument in the launch message to add these features when the platform is launched. For example, the code shown here uses both the Local Data Filter and the Column Switcher arguments as part...

Scripting Analyses

In this demonstration, we'll see how to script the analyses performed by some of the commonly-used platforms in JMP. In the journal in section I'll click on Concrete Strength and Humidity Data, and this is the data set I'm going to use for all of the examples in this demonstration. So we've got the type of concrete mix, the resulting concrete strength, and the ambient humidity when the ...

Overview of Display Boxes

Remember that messages to the platform object are initially directed to the analysis layer. These messages can request additional analyses or options, such as those found in the red triangle menus. You can also send messages to the report layer in order to access information in numerical reports or graphical presentations. In some cases, your script might harvest the results in a platfo...

Understanding the Report Layer

So, you need to understand the report layer of built-in JMP platforms if you want to design and make your own custom reports using elements of those platforms. Your custom report can include simple copies, or clones, of platform elements, as well as new tabular or graphical displays based on results your script harvests from a platform. These custom windows can report new results and ca...

Display Boxes

In built-in JMP platforms, the report layer is usually organized as an outline, but there are other kinds of organization available. For example, you could organize the information in tabs or panels. The display boxes in the report layer are nested-- they often contain, or are contained within, other display boxes. This nested or branched structure is called the display tree, and the di...

Display Boxes with Subscripts

Let's talk about how you access the nested display boxes within the display tree. Well, just like you use subscripts with lists and matrices, you use subscripts with display tree objects. First, you obtain a reference to the report layer from the analysis layer. Then, you use a subscript, or series of subscripts, to identify the nested object. Just like subscripts for lists and matrices...

Using Display Boxes

In this demonstration, we'll take a look at how the display boxes are organized in the report layer, and see how we can access the contents of those display boxes. So in section of the course journal, I'll click on Cure Time Data. So I'm just going to do a simple correlation analysis and simple linear regression with the Cure Time data with two of my Cure Time columns in the bivariate p...

Using the New Window Function

So, suppose you want to create a report that includes objects or display boxes that aren't part of a standard set of display boxes in a JMP platform, or maybe you want to create a report using values your script harvested from a JMP platform, but organized differently. Well, you use the New Window function to create a new window and then construct display boxes inside that window. The N...

Creating a Custom Report

Learn more in our online course with
videos, practice exercises & quizzes.
Select and take the lessons in any order.
Introduction to the JMP Scripting Language

In this demonstration, we'll use a pre-written script to see how to make a custom report. So in the course journal, in section there's a script called NOx data for the nitrogen oxide...

How do I import time series data stored in OSIsoft PI Server? ( New in JMP 17)

Data analysts who need access to time series data stored in an OSIsoft PI Server can use the File > Database → Import from OSIsoft PI Server path to import three types of data: Raw: raw data points with timestamps that reflect when the data were recorded Plot: data points that have been interpolated based on a set of timestamps and is suitable for plotting Interpolated: data points...

Number of factor levels in I-Optimal design

For an RSM I-Optimal design created in Custom Design, is there a way to control the number of factor levels?   Here's an example. I create an I-Optimal RSM design with 5 continuous factors and a few replicates and I get a plan with levels -1, 0 and 1 onlyHowever, I have a keen interest in the behavior of one of the factors and thus prefer to have 5 different levels.  A plan with -1, 0, 1 and two o...

DOE Topics for June 5 Meeting

What topics would you like to see covered? - DOE versus One Factor at a Time (OFAT) - Using the profiler to optimize, understand design space, predict failure rate - How to use the Custom Design Platform - Using Easy DOE for beginners   Would you be willing to share a story about DOE?

Improving Machine Learning Using Space Filling DOE to Tune Hyperparameters Presentation - 4-2-2025

Tuning hyperparameters is crucial for optimizing machine learning models, but the process can be computationally expensive and complex. Traditional grid, random search, or even Bayesian optimization methods often miss critical areas of the hyperparameter space, leading to suboptimal models. In this talk, we show a JMP add-in we have developed that uses space-filling DOE to more efficiently approac...

Attention garden growers! First annual JMP seedling swap?!

There's nothing more local than growing your own food. Anyone else out there have more veggie or fruit seedlings than you can use? I do. Different types of tomatoes, cherry tomatoes, peppers, lettuce leaf basil, and a couple others.   I wanted to see if anyone might be interested in doing a seedling swap one afternoon in the parking lot of Building A or somewhere else's that's convenient.    Thank...

Your Opinion Matters: The JMP Reliability Club Steering Committee Needs Your Help!

We need your help. Tell us what topics YOU would like to see at the upcoming club meetings for the rest of 2025. The steering committee is also actively seeking volunteers to present. Please send us your feedback by taking the short survey below. https://sas.qualtrics.com/jfe/form/SV_2sHRYJXvijYnryC 

Invitation to the upcoming Israel JMP® Users Group

Join us for the upcoming online 헜혀헿헮헲헹 헨혀헲헿혀 헚헿헼혂헽 헺헲헲혁헶헻헴 on June 17th. We are thrilled to have John Linden from KLA and Guy Burshtein from SCD presenting their insights and expertise. Don't miss this opportunity to connect, learn, and share with fellow JMP enthusiasts!   More information and registration: https://www.jmp.com/en/events/europe/users-groups/2025/israel  

Essentials of Designing Experiments

(view in My Videos)

Mark your calendars for April 15th- Wasatch Front JMP Users Group Meeting coming soon!

The Wasatch Front JMP Users Group has an upcoming meeting planned for April 15, 2025 from noon to 1:30 p.m. at the Utah State Capitol Building. Lunch will be provided (courtesy of JMP). Our hosts at the Capitol Building have also arranged with the docents to conduct a tour for interested attendees. If you haven't visited the Capitol Building (or if you haven't done so since grade school days) this...

What would your dream topics be for our next JMP Users Group Meeting?

The planning committee for the Phoenix JMP Users Group is hard at work planning both a virtual meeting for this summer and another in-person meeting in the fall. Users have indicated they are interested in learning more about Reliability and What's New in JMP.   What additional topics would you like to see covered at one of these meetings? Do you know a great speaker? Care to volunteer to present?...

Moderation & Mediation Presentation - 3-5-2025

Presentation from JMP Analytics Software Tester Haley Yaremych on the Moderation & Mediation for JMP Pro Add-In. Often as we are trying to gain insights from our data, understanding that two variables are related is not enough. We need to dig deeper and ask questions like: under what circumstances are they related? For whom are they related, why are they related, and how? Moderation, mediation, an...

CDISC Enables Efficient Streamlining of Clinical Trial Safety Evaluation (White Paper)

This article was originally published in the Journal of the Society for Clinical Data Management , Volume 3, Issue 1, Spring 2023.    Read the Abstract and Introduction below.  You can dowload the full paper from The Journal of the Society for Clinical Data Management web site.   Authors Geoffrey Mann, Thomas J Pedersen, Rebecca Lyzinski, Anisa Scott, Andrew J Foglia, John Cromer, Meichen Dong, No...

Unit Tests: Automated JSL Testing

Software development practitioners use the term unit to refer to the smallest testable component of a software product and the phrase unit testing to refer to the process of validating that a unit operates as expected. Over the past twenty years, these practitioners have become increasingly interested in automated unit testing and the phrase unit testing framework has come to refer to the mechanis...

JMP Live: Helping You Work More Efficiently

JMP visually and interactively performs advanced statistical analysis, predictive models, design of experiments (DOE), quality and process control, and more to help organizations understand and leverage their data.   Easy information sharing in JMP also makes engineering simpler, faster, and more efficient by ensuring everyone in your organization always has the same information and perspective. J...

How to Edit and Schedule a Data Refresh in JMP Live

JMP Live is collaborative analytics software for secure, enterprisewide knowledge sharing. JMP Live gives your experts a platform to contribute their collective voice, positioning your organization to make the most of expert insights and enabling nimble decision-making for critical, time-sensitive demands all from the convenience of a web browser.   With JMP Live, your organization can:  Create a ...

JMP for Mixed Models - Book Chapter 1

This summary is excerpted from JMP for Mixed Models by Ruth Hummel, Elizabeth Claassen, and Russell Wolfinger. Copyright 2021, SAS Institute Inc., Cary, NC, USA. All Rights Reserved. Reproduced with permission of SAS Institute Inc., Cary, NC.   Download Chapter 1 to learn more.    Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the mos...

Norway, Marija presentation

Next Twin Cities JMP Users Group Meeting Announced for April 3, 2025!

Are you a JMP user looking to sharpen your skills, discover new insights, and connect with fellow analytics professionals? Mark your calendar for the Twin Cities JMP Users Group Meeting on April 3, 2025.   Date: Thursday, April 3, 2025
Time: 8:30–10:30 a.m. CT
Location: Normandale Lake Office Park, 5600 West 84th Street Bloomington, 8400 Training Room, MN 55437 Agenda:
8:30 a.m.- Check-in and Network...

Essentials of Designing Experiments

Essentials of Designing Experiments   (view in My Videos)   JMP has powerful, world-class design of experiments (DOE) capabilities. See how to use the DOE platforms to make the most of your experiments. This topic may cover Custom Design, Screening Design, Full Factorial Design, Response Surface Design, and using Easy DOE to streamline your DOE workflow.

Formulas and the Formula Editor

Make and edit formulas in JMP   (view in My Videos)   See how to use JMP's powerful, easy-to-use Formula Editor to create columns with values computed by a formula and store the formula as part of column information. Learn how to build formulas that are simple assignments of numeric, character or row state constants, or complex evaluations based on conditional clauses. See how formulas are linked ...

Norway Meet-up: Heredity Bootstrap PLS MLR (H-BPLS LS) for high-dimensional DoE with JMP

Topic: Heredity Bootstrap PLS MLR (H-BPLS LS) for high-dimensional DoE with SAS JMP Presenter: Dr Knut Dyrstad - Chemometrician (KD Metrix)   Content
1. Introduction to Design of Experiments (DoE)
➢ Why DSD
2. Heredity-based variable selection strategy
3. High dimensional Definitive Screening Design (DSD)
4. Heredity Bootstrap PLS MLR (H-BPLS LS) for DSD
5. Summary

Norway JMP Meet-up, Follow up

Hi all,

Thank you for attending the first JMP Meet-up in Norway. Special thanks to Patrick Galler (@Ressel) for hosting us at the Aker BioMarine office.  As a follow-up, I wanted to share some helpful resources related to Design of Experiments (DoE) since we talked a lot about that, along with the presentation from our session (attached with all links provided inside) about how to nurture data driv...

Get Going with JMP: Essentials for Using JMP

These videos provide JMP essentials for new users and those who want a refresher.    Overviews Getting Started With JMP JMP Tips and Tricks (JMP 18)Better JSL Smoother Migration: How To Fix Your Own Code​   Automating Your Analysis WorkflowWhat’s New in JMP 17 Data Preparation From Excel to JMP: Importing, Consolidating and Maximizing the Value of Excel Data NEW! Formulas and the Formula EditorPow...

Découverte des plans OML (Orthogonal Main Effects Screening Designs for Mixed Level Factors) pour le criblage de facteurs et l'optimisation de formulation cosmétique

Suite à l'introduction des plans DSD pour le criblage efficace et l'optimisation de facteurs en 2011, Bradley Jones a
publié en 2023 une nouvelle famille de plans factoriels permettant de pallier aux lacunes des DSD concernant la
gestion de plusieurs facteurs catégoriels à 2 niveaux.
Ce type de plan est comparé à un plan de criblage classique et aux plans DSD, et utilisé dans le cadre du criblage de
f...

Recordings and files: Scripters Club on Data Access, JMP Roasting and Tips and Tricks

Video 1 Data Access from @Georg  (view in My Videos)   Comments:  Even though the documentation is still lacking and it can be a bit messy to use... I would still suggest you use it as it is the preferred method and will (and does) support connectorsThere is also queryResult "symbol" you can access on run complete which should be the reference to the resulting table https://www.jmp.com/support/hel...

Collection of good/valuable scripting examples the scripters club would like to be added to the scripting index examples

In our last session the idea came up to collect good examples which may be good candidates to be added to the scripting index in JMP as examples.    Please add in the comments section your ideas with links to community posts or just adding the code as example in the comments. Be sure to specify what function the example is related to (where you would like to see this example!   We will provide all...

Recordings DOE Club Q1 2025

Question 1: DOE model analysis   (view in My Videos)   Comments: @Phil_Kay  @Victor_G : Stepwise selection might not be the default approach to recommend.  It is helpful as a guide and comparison, but I would prefer to compare the outcomes with GenReg and other platforms  Raster plots can also help see the frequencies of terms inclusion on many models, to see how they compare : https://community....

Comparing Dissolution Curves Hands-On Activities and Solutions

This activity can stand alone and also is a companion activity to the Mastering JMP session Characterizing and Comparing Dissolution Profiles for New Drug Formulations.   This hands-on activity allows you to practice comparing the shape of dissolutions curves over two groups. Instructions are below and in the attached PDF, which also contains the solutions. The data table is also attached to this ...

Explore Missing Values Hands-on Practice and Solution

This activity can stand alone and also is a companion activity to the Mastering JMP session Disentangling and Organizing Wide Data.   This hands-on activity allows you to practice using Explore Missing Values to understand patterns in missing values across predictor variables in a predictive modeling exercise. The instructions are below and in the attached PDF, which also contains the solutions. T...

Explore Outliers Hands-on Practice and Solution

This activity can stand alone and also is a companion activity to the Mastering JMP session Disentangling and Organizing Wide Data. This hands-on activity allows you to practice using Explore Outliers to understand the extreme values in your data. The data are collected from historical data for predictive modeling purposes. The instructions are below and in the attached PDF, which also contains th...

Expand and Collapse Blocks of JSL Code (Windows)

Code folding markers show the beginning and the end of the code block, so you can collapse and expand code. To turn on code folding: Select File > Preferences > Script Editor.Select Code folding.Click OK. Note: By default, code does not remain collapsed after you save the script and restart JMP. To save the state of the folded code, select Save and restore document state information in the Script ...

Work Efficiently with Projects

With JMP Projects, you can: Explore your data more efficiently in a single, tabbed JMP window.Quickly save and reopen a set of related files and reports.Share your work by embedding your tables and scripts in a self-contained project file. Example of a Project Create a project Select File > New > Project (Windows) or File > New > New Project (MacOS).Open, import, or create your data tables and scr...

Optimisation du temps de test grâce au clustering des paramètres

Optimisation du temps de test grâce au clustering des paramètresBadreddine Chaguer (X-Fab) (view in My Videos)

Interactive Table Results

Here are the results from the interactive table that was presented at the User Group meeting based off of the Analytic Workflow website: Streamline your Analytic Workflow | JMP. We had 19 users participate. I have attached the JMP file as well. A big thanks to Jed Campbell for helping with this visualization!    

JMP Live: The Newest Way to Share Your Discoveries

JMP Live is the web application for sharing and viewing JMP reports. With JMP Live, scientists and engineers can quickly share their latest findings for easier collaboration across the organization. JMP Live gives organizations the power to go from "my" data to "our" data. Learn more at jmp.com/live. How JMP Live can benefit you and your organization: Use JMP Live with JMP to automate data prepara...

The JMP User Community

Select JMP User Community from the Help > JMP on the Web menu in JMP to connect online: Start learning and mastering JMP.Register for seminars, webcasts, workshops, and users groups.Use the JMP File Exchange to download user-submitted samples, scripts, and stored processes.Share your files with other JMP users on the JMP File Exchange.Get your JMP questions answered, and share your expertise in th...

Search Preferences (macOS)

Can't find a setting in Preferences? Do a search. Select JMP > Preferences.In the Filter box at top, enter your text.To filter by JMP version, click Version and choose a range to search within.At left, click a category to see its results. Preferences that match your search term are highlighted. If you filter by different versions, the version when the preference was added appears next to the highl...

Search Preferences (Windows)

Can't find a setting in Preferences? Do a search. Select File > Preferences.In the Filter box at top, enter your text.To filter by JMP version, click Version and choose a range to search within.At left, click a category to see its results. Preferences that match your search term are highlighted. If you filter by different versions, the version when the preference was added appears next to the high...

Search the Scripting Index (macOS)

Get interactive help with JSL commands. You can search for a particular function, object, or display box to see what it does and how to use it. Narrow your search with filters or by version. Select Help > Scripting Index.In the Filter box at top, enter your text.To filter by JMP version, click Version and choose a range to search within.To see additional filters, click the Search icon and choose a...

Search the Scripting Index (Windows)

Get interactive help with JSL commands. You can search for a particular function, object, or display box to see what it does and how to use it. Narrow your search with filters or by version. Select Help > Scripting Index.In the Filter box at top, enter your text.To filter by JMP version, click Version and choose a range to search within.To see additional filters, click the Down arrow and choose an...

Group Columns

When you have a large number of columns, organize them by grouping. When you launch a platform, you can add the group instead of adding each column individually. To group columns: Open a data table.In the Columns panel, highlight the columns that you want to group.Right-click on the highlighted columns in the Columns panel and select Group Columns. Grouping Columns

Broadcast Commands (macOS)

Holding down the Command key before selecting a command in a report's menu executes that command everywhere it is valid in the report. For example, to fit a regression line to many scatterplots in a single report, hold down the Command key then select Fit Line. All the scatterplots then have a fitted line. Command Key With Menu Command Key With Menu

Broadcast Commands (Windows)

Holding down the Control key before selecting a command in a report's menu executes that command everywhere it is valid in the report. For example, to fit a regression line to many scatterplots in a single report, hold down the Control key then select Fit Line. All the scatterplots then have a fitted line. Control Key with Menu Fit Line

Restore Default Axis Settings (macOS)

Change the scale of a plot by clicking in the frame with the Magnifier tool Magnifier Tool or by rescaling the axes. Restore the original scaling using any of the following actions: Hold the Option key and click in the frame with the Magnifier toolDouble-click in the frame with the Magnifier toolRight-click the axes and select the Revert Axis command

Restore Default Axis Settings (Windows)

Change the scale of a plot by clicking in the frame with the Magnifier tool Magnifier Tool or by rescaling the axes. Restore the original scaling using any of the following actions: Hold the Alt key and click in the frame with the Magnifier toolDouble-click in the frame with the Magnifier toolRight-click the axes and select the Revert Axis command

Virtually Join Data Tables

If you want to merge related content in different data tables, save memory and time by joining them virtually. A virtual join links a main data table to one or more secondary data tables. The main table can then access data in the secondary tables without physically joining them. To do a virtual join: Open the tables that you want to virtually join.In the secondary table that contains a unique ide...

Confidence Intervals Other Than 95%

Confidence interval commands in the Fit Model platforms use α = 0.05 by default. You can specify a different α-level in the Fit Model window. Select Set Alpha Level from the red triangle menu for Model Specification in the Fit Model window.In the window that appears, enter a number between 0 and 1 to specify the alpha for a 1-alpha confidence level. Set Alpha Level   Other platforms provide an opt...

Order Values in Reports

By default, JMP always presents a variable's levels in alphabetical order. This is not always desirable. For example, you usually prefer to see seasons in chronological order, not alphabetical order. Right-click on the column name and select Column Info.Select Column Properties > Value Order.Use the Move Up and Move Down buttons to specify the correct ordering. Value Ordering