JMP (software)

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JMP (statistics software)

Logo from JMP
Basic data

developer SAS Institute
Current  version 14.2.0
(December 2018)
operating system Windows , Mac OS
category Statistics software
License Proprietary
German speaking Yes
www.jmp.com

JMP (pronounced “jump”) is a computer program for statistics that was developed by the JMP division of the SAS Institute . It was developed in the 1980s for the Macintosh graphical user interface. It has since been improved and made available for Windows as well. JMP is used in applications such as Six Sigma for quality control and engineering, experimental design (DOE), and scientific research. The software consists of five products: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Graph Builder App for the iPad; a scripting language (JSL) is also available. The software focuses on exploratory analysis , where users visually examine and explore data.

history

JMP was developed in the 1980s by John Sall and a development team to take advantage of the graphical user interface introduced by Apple Macintosh in 1984. The acronym initially stood for "John's Macintosh Project" and was first published in October 1989. It was mainly used by scientists and engineers for design of experiments, quality and productivity support (Six Sigma), and reliability assessments. Semiconductor manufacturers were also among the early prospects.

Interactive graphics and other functions were added in 1991 with version 2.0. Version 2 was twice the size of the original, but was still shipped on a floppy disk. It required 2 MB of storage space and contained 700 pages of documentation. Support for Microsoft Windows was added in 1994. JMP [9] was reprogrammed in 1999 with version 3. Version 4, released in 2002, could import data from a wider range of data sources and also included support for surface rendering. With version 4, extrapolations of time series and new smoothing functions such as seasonal smoothing, the so-called winter method and the ARIMA (Autoregressive Integrated Moving Average) have been added.

In 2005, data mining tools such as a decision tree and a neural network as well as Linux support, which was later withdrawn with the start of JMP 9, were added in version 5. JMP 6 was introduced later that year. JMP began integrating with the rest of SAS products with version 7.0 in 2007 and increasingly with every version that has been released since then. Since then, users have been able to write SAS code in JMP, establish a connection to SAS servers and read in and process SAS results again. Support for bubble charts was added in version 7. In version 7, data visualization and diagnostics have also been improved.

Version 8 was released in 2009 with new drag and drop functions and a 64-bit version in order to benefit from the advantages of the Mac operating system. A new user interface for creating graphs, tools for decision models and life cycle analyzes has also been added. According to Scientific Computing, the software has seen improvements in "graphics, QA, usability, SAS integration and data management areas." In 2010, JMP 9 added a new interface for using the R programming language in JMP and an add-in for Excel. The main screen has been reorganized and improvements have been made to the simulation, graphics and a new degradation platform for analyzing degradation and decomposition processes. In March 2012, Version 10 improved data mining, predictive analysis, and automated model creation.

software

In JMP, a screen is displayed with various data

JMP consists of JMP, JMP Pro, JMP Clinical and JMP Genomics as well as the Graph Builder iPad app. JMP Clinical and JMP Genomics combine JMP and SAS software.

The JMP software focuses on exploratory data analysis and visualization. It is designed for users who want to gain new insights from data rather than confirm a hypothesis. JMP links data with statistics and graphs so that users can drill down or drill up to the data and its various visual representations. Its main applications are in the design of experiments and the analysis of statistical data of industrial processes.

JMP is a desktop application with a wizard-based user interface, while SAS can be installed on servers. It runs in memory instead of on disk. According to an assessment in Pharmaceutical Statistics , JMP is often used as a graphical front-end tool for a SAS system that does the statistical analysis and tabulation. JMP Genomics, which is used for the analysis and visualization of genome data, requires a SAS component to operate and can access SAS / Genetics and SAS / STAT processes or call SAS macros. JMP Clinical, which is used for analyzing clinical trial data, can package SAS code within the JSL scripting language and convert SAS code to JMP.

JMP is also the name of the division of the SAS Institute that developed JMP. In 2011, JMP had 180 employees and 250,000 users.

JMP scripting language (JSL)

The JMP Scripting Language (JSL) is an interpreted language for recreating analytical results and automating or expanding the functionality of the JMP software. JSL was first introduced in JMP version 4 in 2000. JSL has a Java-like syntax that is structured as a series of expressions. Data tables, display elements and analyzes are represented by objects in JSL, which are manipulated with named messages. Users can write JSL scripts to perform analysis and visualizations that are not available in the point and click interface, or to automate a number of commands, such as weekly reports. SAS and R code can also be executed using JSL.

Notable uses

In 2007, a wildlife surveillance organization, WildTrack , began using JMP with the Footprint Identification Technology (FIT) system to identify individual endangered animals by their footprints. In 2009, Chicago Botanic Garden used JMP to analyze DNA data from tropical breadfruit . Researchers found that the seedless, starchy fruit was created by intentionally hybridizing two fruits, the breadnut and the dug dug. The Herzenberg Laboratory in Stanford has integrated JMP with the Fluorescence Activated Cell Sorter (FACS). The FACS system is used to study HIV, cancer, stem cells, and oceanography.

Web links

Individual evidence

  1. ^ A b Ian Cox, Marie A. Gaudard, Philip J. Ramsey, Mia L. Stephens, Leo Wright: Visual Six Sigma: Making Data Analysis Lean . John Wiley & Sons, December 21, 2009, ISBN 978-0-470-50691-2 , pp. 23– (accessed November 16, 2012).
  2. ↑ a b c d Eric Lai: Billionaire SAS co-founder keeps on coding . September 18, 2009. Retrieved November 16, 2012. 
  3. ↑ a b c Barbara Okerson: JMPing In: A SAS Programmer's Look at JMP . ( ncsu.edu [PDF; accessed December 30, 2012] SESUG 2011).
  4. ^ A b c John Collins: Software Innovator helps companies get the facts straight . In: The Irish Times , September 23, 2005, p. 8. Retrieved May 25, 2012. 
  5. ^ APICS, the Performance Advantage . American Production and Inventory Control Society, 1991 (accessed December 30, 2012).
  6. ↑ a b Arnold Goodman: JCGS @ 20, Visual @ 40, Interface @ 45 & !! Challenges !! . In: Taylor & Francis (Eds.): Journal of Computational and Graphical Statistics . January 24, 2012. doi : 10.1198 / jcgs.2011.204c .
  7. ↑ Ki Kim: JMP, Version 2. Software for Statistical Visualization on the Apple Macintosh . In: Journal of Chemical Information and Modeling . 32, No. 2, 1992, ISSN  1549-9596 , pp. 174-175. doi : 10.1021 / ci00006a600 .
  8. ↑ John P. Sall . Northern Illinois University ( niu.edu [accessed November 16, 2012]). John P. Sall ( Memento of the original from December 5, 2012 in the Internet Archive ) Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice.  @1@ 2Template: Webachiv / IABot / www.niu.edu
  9. ^ Bradley Jones, John Sall: JMP statistical discovery software . March 4, 2011, doi : 10.1002 / wics.162 .
  10. ^ M Gleeson, JL Francis, DJ Lugg, RL Clancy, JM Ayton, JA Reynolds, CA McConnell: One year in Antarctica: Mucosal immunity at three Australian stations . In: Immunology and Cell Biology . 78, No. 6, 2000, ISSN  0818-9641 , pp. 616-622. doi : 10.1046 / j.1440-1711.2000.00958.x .
  11. ↑ JMP Introductory Guide: Version 3 of JMP . SAS Institute, ISBN 1-55544-680-9 ( usc.edu [PDF; accessed December 30, 2012]).
  12. ^ A b Micah Altman: A Review of JMP 4.03 With Special Attention to its Numerical Accuracy . In: The American Statistician . 56, No. 1, 2002, ISSN  0003-1305 , pp. 72-75. doi : 10.1198 / 000313002753631402 .
  13. ^ Bill Gjertsen: Using JMP Version 4 for Time Series Analysis . North Carolina State University ( ncsu.edu [PDF; accessed December 30, 2012]).
  14. ↑ What Is A Data Mining Product? . In: Information Management . 
  15. ↑ John Sall: JMP Version 6 Featuring Split Plots . SUGI 30 ( sas.com [PDF; accessed December 30, 2012]).
  16. ↑ a b Robert Huisden: JMP Clinical for the Exploration of Legacy Studies . 2011 ( phusewiki.org [PDF; accessed December 30, 2012]).
  17. ↑ John Wass: JMP7: One of the best just got better , Scientific Computing. Archived from the original on November 16, 2011 Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice. . Retrieved May 9, 2012. @1@ 2Template: Webachiv / IABot / www.scientificcomputing.com 
  18. ↑ Launches SAS JMP 8 for Mac and Linux . In: Ti Journal , April 11, 2009. Retrieved December 30, 2012. 
  19. ↑ Introducing JMP Version 8 . In: A Technical Publication for JMP Users . Issue 25 winter 2009 edition. JMPer Cable ( jmp.com [PDF; accessed December 30, 2012]).
  20. ^ John Wass: JMP 8: Continuous Improvement , Scientific Computing. Archived from the original on November 28, 2011 Info: The archive link was automatically inserted and not yet checked. Please check the original and archive link according to the instructions and then remove this notice. . Retrieved November 16, 2012. @1@ 2Template: Webachiv / IABot / www.scientificcomputing.com 
  21. ↑ New Features in JMP 9 . JMP ( jmp.com [PDF; accessed December 30, 2012]).
  22. ↑ Adriian Bridgewater: JMP Genomics 5: Data Visualization & Exploration . In: Dr. Dobbs Journal , November 3, 2010. Retrieved May 31, 2012 ..  ( Page no longer available , search in web archives )  Info: The link was automatically marked as broken. Please check the link according to the instructions and then remove this notice. @1@ 2Template: Dead Link / www.drdobbs.com  
  23. ^ John Wass: JMP 9: A really new version , Scientific Computing. Archived from the original on September 14, 2011 Info: The archive link was inserted automatically and has not yet been checked. Please check the original and archive link according to the instructions and then remove this notice. . Retrieved May 9, 2012. @1@ 2Template: Webachiv / IABot / scientificcomputing.com 
  24. ^ Charles Shipp, Kirk Paul Lafler: Proficiency in JMP Visualization . In: PharmaSUG 2012 . ( pharmasug.org [PDF; accessed December 30, 2012]).
  25. ↑ a b c d e f James Taylor: First Look - JMP Pro , JTonEDM. August 10, 2011. Retrieved May 31, 2012. 
  26. ↑ JMP Graph Builder for iPad . SAS Institute ( jmp.com [accessed December 30, 2012]).
  27. ↑ SAS JMP 8 for the Macintosh review , Macstats. Retrieved November 19, 2012. 
  28. ^ B. Jones, J. Sall: JMP statistical discovery software . Wiley Interdisciplinary Reviews: Computational Statistics, 2011, doi : 10.1002 / wics.162 .
  29. ^ Robert H. Carver: Practical Data Analysis with Jmp . SAS Institute, July 30, 2010, ISBN 978-1-60764-475-0 , pp. 61– (accessed November 16, 2012).
  30. ^ A b David P. Lovell: Review of JMP genomics . In: Pharmaceutical Statistics . 10, No. 4, 2011, ISSN  1539-1604 , pp. 384-392. doi : 10.1002 / pst.460 .
  31. ^ Qingyu Zhang, Richard S. Segall: Commercial Data Mining Software . In: Computational Statistics . Retrieved December 30, 2012. 
  32. ↑ a b SAS Publishing: Jmp 10 Scripting Guide . SAS Institute, March 1, 2012, ISBN 978-1-61290-195-4, (accessed December 13, 2012).
  33. ↑ Wendy Murphrey, Rosemary Lucas: Jump Into Jmp Scripting . SAS Institute, August 26, 2009, ISBN 978-1-59994-658-0, (Retrieved December 14, 2012).
  34. ↑ SAS Publishing: JMP Release 8 User Guide . SAS Institute, December 11, 2009, ISBN 978-1-60764-301-2 , pp. 392– (accessed December 13, 2012).
  35. ^ Mary Hayes Weier: Scientists use BI Software and Intuit Trackers to Gauge Polar Bear Populations . In: InformationWeek , June 25, 2007. Retrieved May 25, 2012. 
  36. ^ Advancements in FACS System for Clinical Studies . In: The Computerworld Honors Program . Retrieved December 15, 2011.