8:30 - 10:00
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US 2018 401
The Fundamentals of Modern Experimentation using JMP
Bradley Jones
Designed Experimentation is the best way to learn about industrial processes. But, in the long history of the design of experiments, most of experimenters have been taught methods that focus on conforming your experiment to the limitations of classical designs. The need to understand these constraints limited the number of effective experimenters.
JMP’s approach to DOE takes the burden off the practitioner to understand the constraints of textbook designs and instead puts the experimenter in control.
See how to use JMP’s Custom Designer to design an experiment for any process. The Custom Designer removes the burden of changing your experiment to meet the requirements of a textbook design and instead 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.
Design of Experiments
Level 1
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US 2018 402
Sharing JMP Graphs and Reports
Bryan Fricke and Michael Hecht
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.
Data Visualization
Level 1
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US 2018 403
10+ Things You Don’t Know About JMP
Brady Brady
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.
Data Exploration
Level 1
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10:30-12:00
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US 2018 404
JMP Projects: A New Way to Organize Your Work in JMP 14
Aaron Andersen
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.
Data Access and Manipulation
Level 1
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US 2018 405
Using JSL to Develop Efficient, Robust Applications
Joseph Morgan
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.
JSL Application Development
Level 3
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US 2018 406
Reliability Analysis and Engineering Using JMP
Peng Liu, JMP Principal Research Statistician Developer, SAS
Leo Wright, JMP Principal Product Manager, SAS
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, Degradation, 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.
Quality and Reliability
Level 3
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1:00 - 2:30
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US 2018 407
The most flexible modeling platform that you’re not using
Clay Barker
Generalized Regession - it sounds scary but it's not. This JMP Pro platform can handle most common linear modeling excercises. 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 resopnse 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.
Predictive Modeling
Level 2
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US 2018 408
Building Dashboards and Applications with JMP
Dan Schikore
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.
Data Visualization
Level 2
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US 2018 409
Formula Editor Deep Dive
Mike Muhlada and Audrey Schull
This introductory demo 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 walkthrough will cover various aspects of the formula builder, including using drag and drop, keyboard shortcuts, and function buttons to create formulas. As we work the examples, we will discuss useful functions, uncover and correct common mistakes, work with subscripts, and more. Best practice topics 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.
Data Access and Manipulation
Level 1
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3:00 - 4:30
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US 2018 410
Using Functional Data Explorer to make sense of sensor data
Chris Gotwalt
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.
Level 2
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US 2018 411
Graph Builder - From discovery to presentation
Bill Worley
Graph Builder is a jack of all trades when it comes to visualizing your data. It useful all the way through the analysis process from exploring your data to understand what you've got, to discovering relationships, all the way 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, the options for each one and show you some tricks to make you a master graph builder.
Data Visualization
Level 1
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US 2018 412
Let's Talk Tables
Drew Foglia
Kelci Miclaus
Mandy Chambers
JMP Version 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.
Data Access and Manipulation
Level 2
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