| Developer(s) | SAS Institute |
|---|---|
| Stable release | 9 / September, 2010 |
| Operating system | Windows, Macintosh |
| Type | statistical package, visualization, multivariate analysis, genomics, biomarkers |
| License | proprietary |
| Website | JMP |
JMP (pronounced "jump") is a computer program that was first developed by John Sall and others to perform simple and complex statistical analyses. It dynamically links statistics with graphics to interactively explore, understand, and visualize data. This allows you to click on any point in a graph, and see the corresponding data point highlighted in the data table, and other graphs.
SAS sponsors a yearly JMP users conference that focuses on the use of JMP in applied statistics as well as customization of JMP via JSL. JMP is a division of SAS Institute Inc., which was co-founded by John Sall.
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JMP was originally written in 1989 for the Mac. It was later released for Microsoft Windows in 1993 and Linux in 2005. However, Linux support was dropped with the release of JMP 9 in 2010.[1] According to an issue of the JMP newsletter, "The name JMP was chosen partly to convey the idea of a lively product that jumped responsively to the user’s wishes."[2]
Prior to its release, JMP was an acryonym of "John's Macintosh Project" (John Sall is the co-founder of SAS and is the Executive Vice President responsible for the JMP Division). The internal acronym was later converted into the brand name for the product.
JMP provides a comprehensive set of statistical tools as well as design of experiments and statistical quality control in a single package. It can work with a variety of data formats, such as text files, Microsoft Excel files, SAS datasets, and ODBC-compliant databases.
JMP allows for custom programming and script development via JSL, "JMP Scripting Language". JSL is an interpreted scripting language that is executed at runtime, and provides for manipulating JMP application platform objects in a coherent and coordinated way. JSL is capable of creating complex object-oriented GUI and data visualization toolsets in the JMP application environment. JSL can also be accessed externally via COM (Windows). The use of JSL in the JMP environment can greatly extend the usefulness of JMP in the applied statistics setting.
Starting with JMP version 7, JSL added the ability to submit SAS code to a local or remote SAS session. With JMP version 8, ODS Graphics support was added as well as several regression add-ins that provide JMP user interfaces to selected SAS/Stat or SAS/ETS procedures. With JMP version 9, JSL can also submit and obtain data and results from the R programming language.
There is also an add-on JMP Genomics developed also by SAS, which comes with over 100 analytic procedures to facilitate the treatment of data involving genetics, microarrays or proteomics. It includes whole genome SNP analysis, clustering tools, design of experiment tools etc.
JMP was used by the Georgia Tech Research Institute to maximize engine and armor design options while taking into account speed, fuel economy and operational range requirements.[3][4]
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