JMP (statistical software)

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JMP
Developer(s)JMP Statistical Discovery LLC
Stable release
v17.2 / March 2023
Operating systemWindows, Macintosh, Windows Server
TypeStatistical package, visualization, multivariate analysis, genomics, biomarkers, clinical
LicenseProprietary
Websitejmp.com

JMP (pronounced "jump"[1]) is a suite of computer programs for statistical analysis developed by JMP, a subsidiary of SAS Institute. It was launched in 1989[1] to take advantage of the graphical user interface introduced by the Macintosh operating systems. It has since been significantly rewritten and made available also for the Windows operating system. JMP is used in applications such as Machine Learning, Six Sigma, quality control, design of experiments, as well as for research in science, engineering, biotechnologies, and social sciences.

The software can be purchased in any of four configurations: JMP, JMP Pro, JMP Clinical, and JMP Live. It formerly included the Graph Builder iPad App. JMP's capabilities[2] can be automated and extended with its proprietary scripting language, JSL. The software is focused on exploratory visual analytics. Unlike most data analysis software available today, JMP users start their statistical journey by using the many interactive exploration tools available to easily identify hidden patterns, missing data, and outliers. These explorations can also be verified by hypothesis testing, data mining, or other analytic methods. In addition, discoveries made through graphical exploration can lead to a designed experiment that can be both designed and analyzed with JMP.

History[edit]

Version 1.0 of JMP from 1989

JMP was developed in the mid- to late-1980s by John Sall and a team of developers to make use of the graphical user interface introduced by the Apple Macintosh.[3][4] It originally stood for "John's Macintosh Project"[5][6] and was first released in October 1989.[3] It was used mostly by scientists and engineers for design of experiments (DOE), quality and productivity support (Six Sigma), and reliability modeling.[7] Semiconductor manufacturers were also among JMP's early adopters.[8]

Interactive graphics and other features were added in 1991[9][10] with version 2.0, which was introduced at the 1991 Macworld Expo.[11] Version 2 was twice the size as the original, though it was still delivered on a floppy disk. It required 2 MB of memory and came with 700 pages of documentation.[12] Support for Microsoft Windows was added with version 3.1 in 1994.[6][13] Rewritten with Version 4 and released in 2002, JMP could import data from a wider variety of data sources[14] and added support for surface plots.[10] Version 4 also added time series forecasting and new smoothing models, such as the seasonal smoothing method, called Winter's Method, and ARIMA (Autoregressive Integrated Moving Average). It was also the first version to support JSL, JMP Scripting Language.[15]

In 2005, data mining tools like a decision tree and neural net were added with version 5[16] as well as Linux support, which was later withdrawn in JMP 9.[7] Later in 2005, JMP 6 was introduced.[8][17] JMP began integrating with SAS in version 7.0 in 2007 and has strengthened this integration ever since. Users can write SAS code in JMP, connect to SAS servers, and retrieve and use data from SAS. Support for bubble plots was added in version 7.[7][18] JMP 7 also improved data visualization and diagnostics.[19]

JMP 8 was released in 2009 with new drag-and-drop features and a 64-bit version to take advantage of advances in the Mac operating system.[20] It also added a new user interface for building graphs, tools for choice experiments and support for Life Distributions.[21] According to Scientific Computing, the software had improvements in "graphics, QA, ease-of-use, SAS integration and data management areas."[22] JMP 9 in 2010 added a new interface for using the R programming language from JMP and an add-in for Excel.[23][24] The main screen was rebuilt and enhancements were made to simulations, graphics and a new Degradation platform.[25] In March 2012, version 10 made improvements in data mining, predictive analytics, and automated model building.[26][27]

Version 11 was released in late 2014. It included new ease-of-use features, an Excel import wizard, and advanced features for design of experiments.[28] Two years later, version 12.0 was introduced. According to Scientific Computing, it added a new "Modeling Utilities" submenu of tools, performance improvements and new technical features for statistical analysis.[29] Version 13.0 was released in September 2016 and introduced various improvements to reporting, ease-of-use and its handling of large data sets in memory.[30][31] Version 14.0 was released in March 2018; new functionality included a Projects file management tool alongside the ability to use your own images as markers on your graph.[32]

JMP released new structural equation modeling software in the 2020s in version 15.2.[33] In March 2021, JMP introduced version 16 of JMP software, which improved structural equation modeling and added features to help determine the best model to use for the data being analyzed.[34][35] JMP/JMP Pro/JMP Clinical 17 have been released in October 2022. Latest stable version is 17.2[36]

Software[edit]

Screenshot of different data displays in JMP

JMP consists of JMP, JMP Pro, JMP Clinical, and JMP Live.[37] It formerly included the Graph Builder iPad App[38] and JMP Genomics.

JMP software is partly focused on exploratory data analysis and visualization. It is designed for users to investigate data to learn something unexpected, as opposed to confirming a hypothesis.[6][27][39] JMP links statistical data to graphics representing them, so users can drill down or up to explore the data and various visual representations of it.[14][40][41] Its primary applications are for designed experiments and analyzing statistical data from industrial processes.[8] JMP can be used in conjunction with the R and Python open source programming languages to access features not available in JMP itself.[42]

JMP is a desktop application with a wizard-based user interface. It runs in-memory, instead of on disk storage.[27]

JMP is also the name of the SAS Institute business unit that develops JMP. As of 2011 it had 180 employees and 250,000 users.[27]

JMP Scripting Language (JSL)[edit]

The JMP Scripting Language (JSL) is an interpreted language for recreating analytic results and for automating or extending the functionality of JMP software.[43]: 29  JSL was first introduced in JMP version 4 in 2000.[44]: 1  JSL has a LISP-like syntax, structured as a series of expressions. All programming elements, including if-then statements and loops, are implemented as JSL functions. Data tables, display elements and analyses are represented by objects in JSL that are manipulated with named messages. Users may write JSL scripts to perform analyses and visualizations not available in the point-and-click interface or to automate a series of commands, such as weekly reports.[43] SAS, Python, R, and Matlab code can also be executed using JSL.[45]

Notable applications[edit]

JMP being used in the WildTrack FIT system

In 2007, a wildlife monitoring organization, WildTrack, started using JMP with the Footprint Identification Technology (FIT) system to identify individual endangered animals by their footprints.[46][47] In 2009, the Chicago Botanic Garden used JMP to analyze DNA data from tropical breadfruit. Researchers determined that the seedless, starchy fruit was created by the deliberate hybridization of two fruits, the breadnut and the dugdug.[48] The Herzenberg Laboratory at Stanford has integrated JMP with the Fluorescence Activated Cell Sorter (FACS). The FACS system is used to study HIV, cancer, stem-cells and oceanography.[49]

JMP Pro is also used by research consortium Target Malaria in Europe and Africa through a license with its lead institution, Imperial College London. Increased access to the tool has since contributed to a significant streamlining of research on several fronts: helping research teams standardize around best practices, facilitating more seamless sharing of data sets, providing a platform for visual exploratory analysis, and making possible advanced analyses that researchers were not able to perform with open-source software.

See also[edit]

References[edit]

  1. ^ a b SAS Institute Inc. "About JMP". Retrieved 2 July 2016.
  2. ^ "Capabilities". www.jmp.com. Retrieved 2024-03-12.
  3. ^ a b Ian Cox; Marie A. Gaudard; Philip J. Ramsey; Mia L. Stephens; Leo Wright (21 December 2009). Visual Six Sigma: Making Data Analysis Lean. John Wiley & Sons. pp. 23–. ISBN 978-0-470-50691-2. Retrieved 16 November 2012.
  4. ^ Lai, Eric (2009-09-18). "Billionaire SAS co-founder keeps on coding". Computerworld. Retrieved 2022-11-29.
  5. ^ Billionaire SAS co-founder keeps on coding
  6. ^ a b c Shipp, Charles (2012). "Proficiency in JMP®Visualization" (PDF). Retrieved November 27, 2013.
  7. ^ a b c Okerson, Barbara, JMPing In: A SAS Programmer's Look at JMP (PDF), SESUG 2011, retrieved December 30, 2012{{citation}}: CS1 maint: location (link)
  8. ^ a b c Collins, John (September 23, 2005). "Software Innovator helps companies get the facts straight". The Irish Times. p. 8.
  9. ^ APICS, the Performance Advantage. American Production and Inventory Control Society. 1991. Retrieved 30 December 2012.
  10. ^ a b Goodman, Arnold (January 24, 2012). "JCGS@20, Visual@40, Interface@45 & !!Challenges!!". Journal of Computational and Graphical Statistics. 20 (4): 818–829. doi:10.1198/jcgs.2011.204c. S2CID 121161909.
  11. ^ Mace, Scott (1991-08-05). Stat visualization package adds business graphs. InfoWorld Media Group, Inc. p. 16.{{cite book}}: CS1 maint: date and year (link)
  12. ^ Kim, Ki (1992). "JMP, Version 2. Software for Statistical Visualization on the Apple Macintosh". Journal of Chemical Information and Modeling. 32 (2): 174–175. doi:10.1021/ci00006a600. ISSN 1549-9596.
  13. ^ John P. Sall, Northern Illinois University, archived from the original on December 5, 2012, retrieved November 16, 2012
  14. ^ a b Altman, Micah (2002). "A Review of JMP 4.03 With Special Attention to its Numerical Accuracy". The American Statistician. 56 (1): 72–75. doi:10.1198/000313002753631402. ISSN 0003-1305. S2CID 123511478.
  15. ^ Gjertsen, Bill, Using JMP Version 4 for Time Series Analysis (PDF), North Carolina State University, retrieved December 30, 2012
  16. ^ "What Is A Data Mining Product?". Information Management.
  17. ^ Sall, John, JMP Version 6 Featuring Split Plots (PDF), SUGI 30, retrieved December 30, 2012{{citation}}: CS1 maint: location (link)
  18. ^ Huisden, Robert (2011), JMP Clinical for the Exploration of Legacy Studies (PDF), archived from the original (PDF) on December 17, 2015, retrieved December 30, 2012
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  21. ^ "Introducing JMP Version 8" (PDF), A Technical Publication for JMP Users, no. 25, JMPer Cable, Winter 2009, archived from the original (PDF) on April 8, 2018, retrieved December 30, 2012
  22. ^ Wass, John. "JMP 8: Continuous Improvement". Scientific Computing. Archived from the original on November 28, 2011. Retrieved November 16, 2012.
  23. ^ New Features in JMP 9 (PDF), JMP, retrieved December 30, 2012
  24. ^ Bridgewater, Adrian (November 3, 2010). "JMP Genomics 5: Data Visualization & Exploration". Dr. Dobb's Journal. Retrieved May 31, 2012.
  25. ^ Wass, John. "JMP 9: A really new version". Scientific Computing. Archived from the original on September 14, 2011. Retrieved May 9, 2012.
  26. ^ Shipp, Charles; Lafler, Kirk Paul, "Proficiency in JMP Visualization" (PDF), PharmaSUG 2012, retrieved December 30, 2012
  27. ^ a b c d Taylor, James (August 10, 2011). "First Look – JMP Pro". JTonEDM. Retrieved May 31, 2012.
  28. ^ Wass, John (November 7, 2014). "JMP 11: Remarkable Statistics, Graphics and Integration". Scientific Computing. Retrieved May 11, 2016.
  29. ^ Wass, John (January 27, 2016). "JMP Pro 12: The Best Keeps Getting Better!". Scientific Computing. Retrieved May 11, 2016.
  30. ^ on (November 10, 2016). "First Look: SAS JMP 13 and JMP Pro 13". JT on EDM — James Taylor on Everything Decision Management. Retrieved November 28, 2016.
  31. ^ Report, Impact; Roy, Krishna. "SAS JMP gets self-service data and text prep and analysis makeover". 451 Research. Retrieved November 28, 2016.
  32. ^ "Top 5 Features in JMP 14 | Prism". prismtc.co.uk. Retrieved 2023-03-06.
  33. ^ Gonzales, Joseph E. (January 2, 2021). "Structural Equation Modeling with JMP® Pro". Measurement: Interdisciplinary Research and Perspectives. 19 (1). Informa UK Limited: 80–92. doi:10.1080/15366367.2020.1809231. ISSN 1536-6367. S2CID 232059504.
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  35. ^ Castro-Schilo, Laura; Russo, Eric (March 16, 2021). "Fitting Structural Equations Models with Interactive and Dynamic Tools in JMP® Pro". Structural Equation Modeling. 28 (5). Informa UK Limited: 794–806. doi:10.1080/10705511.2020.1854764. ISSN 1070-5511. S2CID 233695928.
  36. ^ "Technical Release Note" (PDF).
  37. ^ JMP Website
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  40. ^ Jones, B.; Sall, J. (2011). "JMP statistical discovery software". Wiley Interdisciplinary Reviews: Computational Statistics. 3 (3): 188–194. doi:10.1002/wics.162. S2CID 60622844.
  41. ^ Robert H. Carver (30 July 2010). Practical Data Analysis with Jmp. SAS Institute. pp. 61–. ISBN 978-1-60764-475-0. Retrieved 16 November 2012.
  42. ^ Abousalh‐Neto, Nascif; Guan, Meijian; Hummel, Ruth (March 3, 2021). "Better together: Extending JMP ® with open‐source software". Stat. 10 (1). Wiley. doi:10.1002/sta4.336. ISSN 2049-1573.
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  45. ^ Publishing SAS Publishing; SAS Institute (December 11, 2009). JMP Release 8 User Guide. SAS Institute. pp. 392–. ISBN 978-1-60764-301-2. Retrieved 13 December 2012.
  46. ^ Hayes Weier, Mary (June 25, 2007). "Scientists use BI Software and Intuit Trackers to Gauge Polar Bear Populations". InformationWeek. Archived from the original on January 26, 2013. Retrieved May 25, 2012.
  47. ^ Duke University (December 21, 2017). "Using footprints to identify and monitor giant pandas in the wild". Phys.org. Retrieved March 31, 2021.
  48. ^ Lai, Eric (September 18, 2009). "Billionaire SAS co-founder keeps on coding". Computerworld. Retrieved May 13, 2016.
  49. ^ "Advancements in FACS System for Clinical Studies". The Computerworld Honors Program. Archived from the original on November 5, 2011. Retrieved December 15, 2011.

Further reading[edit]

External links[edit]

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