JMP for analytical program development

SAS's JMP software has always been uniquely designed to combine interactive graphics with powerful built-in statistical analysis capabilities to provide powerful and efficient statistical discovery capabilities. In addition to its rich innovative features, JMP can also serve as an analytical hub for users. Users can easily compile and share customized analysis programs and use JMP with their favorite other analysis software to fully explore their application potential.

Users only need to click the required functions in JMP with the mouse to call SAS or R software to expand the instructions required for data management and data analysis. Once users have created their own analysis programs, they can use the new plug-in system in JMP to effectively manage and configure them.

Users can use JMP as their own personalized statistical work platform, and customize a perfect and personalized application for any specific problem.

SAS

SAS software has long been renowned worldwide for its powerful data access and management capabilities, and its proven, in-depth data analysis capabilities. JMP can be run as a standalone software, and is also a SAS Exploratory Data Analysis client. In many ways, JMP can be used in conjunction with other SAS technologies. This combination allows users who are already accustomed to JMP's intuitive operating interface to easily use the powerful analytical capabilities of SAS, and also allows users who are familiar with SAS to use JMP to expand their visual data exploration capabilities. Whether users want to expand the use of SAS to maximize their return on investment or enhance JMP's interactive data visualization capabilities, they can consider creating an analysis program to use the extensive SAS analysis capabilities they need in their favorite JMP operating environment.

R

JMP can be used well with the open source statistical programming language R. This means that R programmers can quickly and fully utilize the advantages of interactive graphics in JMP to generate the diverse dynamic views that we need, which are very important for our data exploration and model interpretation. At the same time, users of JMP software can also explore and use the advanced statistical analysis functions provided by the R open source community to avoid unnecessary trouble and complexity. Users can exchange data between JMP and R, submit R code in JMP scripts, and display R graphics directly in JMP. Combining these elements, whether it is an R programmer who knows a little about JMP or a JMP developer who knows a little about R, they can use these functions to develop useful JMP plug-ins wherever R is needed, and this method is suitable for any user.

Personalization

Users of JMP software do not need to be programmers at all. But if they are or just like to develop "plug-ins", they can use the rich JMP scripting language to customize and reconfigure and expand the functionality of JMP for themselves or other users. Users can also use the JMP scripting language to automate favorite or frequently used analyses or customize analysis reports. The flexible JMP scripting language (JSL) can create superb user interfaces and use them with other analysis software, build JMP plug-ins (custom statistical discovery programs) and share them with other JMP users. This can easily promote the use of these analysis functions anywhere in the organization where data can be obtained or data-driven decisions need to be made. Users can also find the JMP plug-ins they need in the JMP File Exchange or share their own plug-ins with other users.