JMP (pronounced "jump")[2] is a suite of computer programs for statistical analysis developed by JMP, a subsidiary of SAS Institute. It was launched in 1989[2] 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 Six Sigma, quality control, and engineering, design of experiments, as well as for research in science, engineering, and social sciences.
The software can be purchased in any of five configurations: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Live. It formerly included the Graph Builder iPad App. JMP can be automated with its proprietary scripting language, JSL. The software is focused on exploratory visual analytics, where users investigate and explore data. 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 JM
MP 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] It originally stood for "John's Macintosh Project"[4][5] 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.[6] Semiconductor manufacturers were also among JMP's early adopters.[7]
Interactive graphics and other features were added in 1991[8][9] with version 2.0. 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.[10] Support for Microsoft Windows was added with version 3.1 in 1994.[5][11] Rewritten with Version 4 and released in 2002, JMP could import data from a wider variety of data sources[12] and added support for surface plots.[9] 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.[13]
In 2005, data mining tools like a decision tree and neural net were added with version 5[14] as well as Linux support, which was later withdrawn in JMP 9.[6] Later in 2005, JMP 6 was introduced.[7][15] JMP began integrating with SAS in version 7.0 in 2007 and has strengthened this integration ever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.[6][16] JMP 7 also improved data visualization and diagnostics.[17]
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.[18] It also added a new user interface for building graphs, tools for choice experiments and support for Life Distributions.[19] According to Scientific Computing, the software had improvements in "graphics, QA, ease-of-use, SAS integration and data management areas."[20] JMP 9 in 2010 added a new interface for using the R programming language from JMP and an add-in for Excel.[21][22] The main screen was rebuilt and enhancements were made to simulations, graphics and a new Degradation platform.[23] In March 2012, version 10 made improvements in data mining, predictive analytics, and automated model building.[24][25]
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