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Tutorials

Presented by JMP developers and members of the technical staff, these 90-minute tutorials are a rare opportunity for you to go in-depth on selected topics. You’ll learn about some of the core tenets of JMP and see the software in action.

You can sign up for tutorials when you register for the conference. Each session is $150.

  • Sharing JMP® Graphs and Reports (US 2018 402)

    Tuesday, 23 October, 8:30 – 10:00 a.m.
    Bryan Fricke, JMP Senior Software Developer, SAS
    Michael Hecht, JMP Principal Systems Developer, SAS

    • Topic: Data Visualization
    • Level: 1

    JMP is the tool of choice for visually exploring and making discoveries about your data. However, since not everyone is a JMP user, you may need to export your graphs and reports in a form tailored to your audience. In this session, we will demonstrate how to get graphs and reports out of JMP and into forms suitable for sharing. In particular, we will cover exporting graphs and reports in forms ready for presentations, printed journals or articles, and interactive web pages.

  • 10+ Things You Don’t Know About JMP® (US 2018 403)

    Tuesday, 23 October, 8:30 – 10:00 a.m.
    Brady Brady, JMP Technical Enablement Engineer, SAS

    • Topic: Data Exploration
    • Level: 1

    As you already know, JMP is an amazingly rich tool for data analysis and exploration. That also means that you know that there's more than one way to do almost anything in JMP. The 10 (or more!) tips and tricks shared here will make you more efficient and introduce you to techniques, keyboard shortcuts, formulas and more. Come in and level-up from novice to expert, or expert to guru.

  • The Fundamentals of Modern Experimentation Using JMP® (US 2018 401)

    Tuesday, 23 October, 8:30 – 10:00 a.m.
    Bradley Jones, JMP Distinguished Research Fellow, SAS

    • Topic: Design of Experiments
    • Level: 1

    Designed experimentation is the best way to learn about industrial processes. But, in the long history of the design of experiments, most experimenters learned methods that focused on conforming the experiment to classical designs. The need to understand these constraints limited the number of effective experimenters. JMP’s approach to DOE takes the burden of understanding the constraints of textbook designs off the practitioner, instead putting the experimenter in control. See how to use the Custom Designer to design an experiment for any process. The Custom Designer creates an experiment tailor-made for your situation. Do you have constraints on the input factors? No problem. Mixture factors along with process inputs? No problem. What about a run budget that limits the number of experiments you can perform? The Custom Designer will give you a design that will allow you to learn as much as possible within your budget. A few years ago Stu Hunter said that, "[the technology behind the DOE platforms in JMP] would change the way I teach DOE”. Come see how.

  • Using JSL to Develop Efficient, Robust Applications (US 2018 405)

    Tuesday, 23 October, 10:30 a.m. – 12:00 p.m.
    Joseph Morgan, JMP Principal Research Statistician Developer, SAS

    • Topic: JSL Application Development
    • Level: 3

    This tutorial will focus on JSL constructs that can prove invaluable when developing efficient, robust, production-ready applications. These include expression handling functions, xpath support, namespaces and others. The ideas will be illustrated with examples that the instructor has collected over the past 10 years as he has worked with a wide cross section of JSL users.

  • Reliability Analysis and Engineering Using JMP® (US 2018 406)

    Tuesday, 23 October, 10:30 a.m. – 12:00 p.m.
    Peng Liu, JMP Principal Research Statistician Developer, SAS
    Leo Wright, JMP Principal Product Manager, SAS

    • Topic: Quality and Reliability
    • Level: 3

    The state-of-the-art suite of tools in JMP for studying reliability is designed to enable organizations to provide superior products -- a requirement for success in today’s arena of complex products and services. For many years, we have incorporated cutting-edge concepts that integrate robust statistical analysis with dynamic data visualization to help users immediately assess performance, spot trends and diagnose improvement opportunities, even in huge data sets. JMP has recognized that reliability, also known as “quality over time,” is crucial across the board, from consumer and industrial products to health care to defense systems. JMP reliability tools are designed to assist engineers, researchers and managers to understand reliability data and system reliabilities easier and faster, whether the system studied is relatively simple or thoroughly complex. JMP reliability tools, backed by the powerful JMP infrastructure, are also extensible and customizable. In this tutorial, we will cover the following JMP platforms: Life Distribution, Reliability Forecasting, Reliability Block Diagram and Repairable Systems Simulation. The platforms are among the essential components of reliability analysis and engineering, addressing problems for both repairable and non-repairable systems. The tutorial will start with an introduction to the censored data and will outline different objectives of reliability analysis and engineering. The instructors will address individual objectives by using examples included with JMP software.

  • JMP® Projects: A New Way to Organize Your Work in JMP® 14 (US 2018 404)

    Tuesday, 23 October, 10:30 a.m. – 12:00 p.m.
    Aaron Andersen, JMP Principal Software Developer, SAS

    • Topic: Data Access and Manipulation
    • Level: 1

    Many JMP users have experienced an interactive JMP session that left them with many windows and analyses reports opened all at once. While using JMP in this "floating window mode" may work for many, there are situations where having a tabbed interface is preferred. Users also may want to associate certain files with an analysis project and not have the full list afforded by the Home Window. For these reasons, we created the JMP project in JMP 14. Projects provide a single document interface to JMP, a tabbed, re-configurable work space, a place to bookmark files and a window list that lets the user easily navigate various open windows, data tables, scripts and more, as well as launch supporting files like PDFs and PPT documents. Projects can also be used to quickly open and close many files associated with one or more individual analysis activities, and can be used to keep parallel projects separate where in the past you may have needed to run multiple JMP sessions. Finally, projects in JMP 14 can also give you an easy way to share and collaborate on work with their archiving functionality.

  • Building Dashboards and Applications With JMP® (US 2018 408)

    Tuesday, 23 October, 1:00 – 2:30 p.m.
    Dan Schikore, JMP Principal Software Developer, SAS

    • Topic: Data Visualization
    • Level: 2

    Saving an analysis so that it can be repeated on the same or different data tables is an important step in creating an analysis workflow that is efficient and repeatable. The JMP Scripting Language (JSL) can be used along with the drag-and-drop tools available in the JMP Dashboard Builder and Application Builder to quickly build and deploy dashboard and applications. This talk will cover everything from simple dashboards created with “Combine Windows” through full applications with multiple windows and JSL scripts. Learn more about designing reports with data filters, parameterizing applications for run-time selection of columns to analyze, and options for sharing of results, including interactive HTML. The new custom template interface will be demonstrated, which makes it easier and faster to create multiple dashboards or applications with a common look and feel.

  • Formula Editor Deep Dive (US 2018 409)

    Tuesday, 23 October, 1:00 – 2:30 p.m.
    Mike Muhlada, JMP Development Tester, SAS
    Ernest Pasour, JMP Principal Software Developer, SAS

    • Topic: Data Access and Manipulation
    • Level: 1

    This introductory tutorial will use examples to explain Formula Editor mechanics, to investigate and fix common errors, and to solidify best practices and useful tricks for formula creation. A detailed walk-through will cover various aspects of the formula builder, including the use of drag and drop, keyboard shortcuts and function buttons to create formulas. As we work through the examples, we will discuss useful functions, uncover and correct common mistakes, and show how to use the log file for debug, data type mismatches, subscripts and more. Best practices to be covered include: custom formats, using formulas for data cleanup, column transforms and using intermediate columns to build more complex formulas. Special emphasis will be placed on JMP 14 new features, including user-defined functions, result preview, live formula error/warning detection and customizable function list.

  • The Most Flexible Modeling Platform That You're Not Using (US 2018 407)

    Tuesday, 23 October, 1:00 – 2:30 p.m.
    Clay Barker, JMP Senior Research Statistician Developer, SAS

    • Topic: Predictive Modeling
    • Level: 2

    Generalized Regression - it sounds scary, but it's not. This platform in JMP Pro can handle most common linear modeling exercises. Need to find the best set of predictors in a sea of possibilities (i.e., variable selection)? This platform can do that. Need to model a categorical response with more than two levels? Generalized Regression can do that. Have problems with non-normal responses like count data or yield percentage? Where other modeling methods fall down with these responses, Generalized Regression handles them with aplomb. If you're not using this platform, you're missing out. We will look at using Genreg to build models in a variety of settings: starting with an orthogonal designed experiment and moving to large observational data sets.

  • Graph Builder: From Discovery to Presentation (US 2018 411)

    Tuesday, 23 October, 3:00 – 4:30 p.m.
    Bill Worley, JMP Technical Enablement Engineer, SAS

    • Topic: Data Visualization
    • Level: 1

    Graph Builder is a jack-of-all-trades when it comes to visualizing your data. It is useful throughout the analysis process, from exploring your data to understand what you've got, to discovering relationships, to crafting the perfect graph to present your results. This session will show you how to use Graph Builder effectively with an overview of the graph elements available and the options for each one. It will also show you some tricks to help you become a master graph builder.

  • Let's Talk Tables (US 2018 412)

    Tuesday, 23 October, 3:00 – 4:30 p.m.
    Drew Foglia, JMP Principal Software Developer, SAS
    Kelci Miclaus, JMP Life Sciences R&D Manager, SAS
    Mandy Chambers, JMP Principal Test Engineer, SAS

    • Topic: Data Access and Manipulation
    • Level: 2

    JMP 13 introduced virtual joins for JMP tables. This capability enables you to use common keys to link multiple tables, without using the time/memory necessary to actually create a joined (denormalized) copy of your data. Virtually joining tables gives a table access to columns from the linked tables for easy data exploration. A new feature in JMP 14 advances the virtual join capabilities to allow linked tables to communicate with each other by sharing rows states. New options allow you to set up a link reference table to listen and/or dispatch row state changes among virtually joined tables. This feature provides an incredibly powerful data exploration interface that avoids unnecessary table manipulations. This presentation will highlight the new features in JMP with examples using the common sample data followed by a practical application of these features as implemented in JMP Clinical. We will create a review of multiple metrics on patients in a clinical trial that are virtually linked to a subject demographic table and show how a data filter on the Link ID table enables global subject filtering throughout all of the linked safety (adverse events, labs, etc.) tables.

  • Using Functional Data Explorer to Make Sense of Sensor Data (US 2018 410)

    Tuesday, 23 October, 3:00 – 4:30 p.m.
    Chris Gotwalt, JMP Director of Statistical Research and Development, SAS

    • Topic: Predictive Modeling
    • Level: 2

    Scientists and engineers are dealing with more and more data streamed from device-based sensors or batch process monitors. Hundreds or thousands of such data streams can create a large volume of data, very quickly, posing a unique set of challenges. No matter what your industry, common difficulties exist with this type of data: simplifying and cleaning up messy data, removing outliers and building models that characterize an underlying function or relate a continuous data stream to measures of performance, such as yield, defect rate or product quality. With Functional Data Explorer in JMP Pro 14, you can take advantage of this functional data, easily performing data cleanup, transformation, visualization and feature extraction. Ultimately, this allows you to more easily build models you can use to design experiments, characterize processes or make predictions.

  • Beginner: 1
  • Intermediate: 2
  • Advanced: 3
  • Power user: 4

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