JMP (statistical software)

JMP ( pronounced "jump " ) is a computer program for statistics, developed by the JMP division of SAS Institute. It was developed in the 1980s for the graphical user interface of the Macintosh. It has since been improved and made available for Windows. JMP is used in applications such as Six Sigma quality control and technical planning, design of experiments ( DOE) and scientific research. The software consists of five products: JMP, JMP Pro, JMP Clinical JMP Genomics JMP and Graph Builder app for the iPad; it is also a scripting language ( JSL ) are available. The software has its focus in the exploratory analysis, data analyze and visually explore with the user.

History

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

Interactive graphics and more features were added in 1991 with version 2.0. Version 2 was twice as large as the original, but was still delivered on a floppy disk. It took 2 MB of disk space and contained a documentation of 700 pages. Support for Microsoft Windows was added in 1994. JMP in 1999, re-programmed with version 3. Version 4, which was released in 2002, could import data from a wider range of data sources and also included support for surface representations. With version 4 extrapolations of time series and new smoothing functions, such as the seasonal smoothing, the so-called winter method and the ARIMA ( Autoregressive Integrated Moving Average ) were added.

In 2005, in Version 5 data mining tools, such as a decision tree and a neural network as well as Linux support, which was later withdrawn with the start of JMP 9 again added. Later that year, JMP 6 has been introduced. JMP began the integration with the other SAS products with version 7.0 in 2007, and increasingly with every version since appeared. Since then, users can write SAS code in JMP, connect to SAS servers and SAS read results back and edit. Support for bubble charts was added in version 7. In version 7 also data visualization and diagnostics have been improved.

The version 8 was released in 2009 with new drag- and -drop functionality and a 64 -bit version in order to benefit from the advantages of the Mac operating system. In addition, a new user interface for creating graphic representations, added tools for decision models and survival analysis. According to Scientific Computing has been made in software improvements in " graphics, QA, usability, SAS integration and in areas of data management. " JMP 9 added in 2010 a new interface for the use of the R programming language in JMP and an add-in for added Excel. The main screen has been restructured and there have been improvements in the simulation in graphics and a new Degradation platform for the analysis of degradation and decomposition processes carried out. In March 2012, improved version 10, data mining, predictive analytics and automated model building.

Software

JMP consists of JMP, JMP Pro, JMP Clinical and JMP Genomics and graphBuilder iPad app. JMP Clinical and JMP Genomics JMP connect and SAS software.

The JMP software has its focus in the exploratory data analysis and visualization. It is designed for users who want to gain new knowledge from data rather than to confirm a hypothesis. JMP linked data with statistics and graphics so that users can view the data and their different visual representations to drill -down or drill-up. Its main applications are in the experimental design and 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 is running in memory instead of on disk. Following an evaluation in Pharmaceutical Statistics JMP is often used as a graphical front - end tool for a SAS system, which performs the statistical analysis and tabulations. JMP Genomics, which is used for the analysis and visualization of genomic data requires to operate a SAS component and can access SAS/Genetics- and SAS / STAT procedures or invoke SAS Macros. JMP Clinical, which is used for the analysis of data from clinical trials can, SAS code package within the JSL script language and convert SAS code in JMP.

JMP has developed also the name of the business area of the SAS Institute, 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 rebuilding analytical results and to automate or extend the functionality of the JMP software. 29 JSL was introduced in JMP version 4 for the first time in 2000. 1 JSL has a Java -like syntax, the is structured as a set of terms. Data tables, indicators and analyzes are represented by objects in JSL which are manipulated with the named message. Users can write JSL script to perform analyzes and visualizations that are not available in the point- and -click interface, or a series of commands, such as weekly reports to automate. SAS and R code can also be performed with the use of JSL.

Notable applications

2007 began a monitoring organization for wildlife, wild track to use with the JMP Footprint Identification Technology (FIT ) system to identify individual endangered animals on their footprints. 2009 Chicago Botanic Garden used JMP to analyze DNA data of tropical breadfruit. Researchers noted that the seedless, starchy fruit was created by deliberate hybridization of two fruits, the bread nut and the Dug Dug. The Herzberg Laboratory at Stanford JMP has integrated with the Fluorescence Activated Cell Sorter (FACS). FACS system is used to investigate HIV, cancer, stem cells, and oceanography.