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JMP is one of the preeminent and most popular software used for statistical analysis. It was launched in 1989 by SAS. It is a product of the SAS Institute. The main purpose of the launch of JMP was to leverage the GUI offered by Macintosh of the time. This means that the first version of JMP was only compatible with Mac. But afterwards, the JMP program was rephrased to be accessible for the Windows OS.
JMP offers a complete set of statistical tools along with testing and statistical QC in a single package. You can start with any types of data formats, such as script files, SAS data collections, Microsoft Excel records, and ODBC-compliant databanks.
It allows customizing programming and script creation through JSL, which is also known as JMP Scripting Language. JSL is an inferred scripting language that works at runtime and ensures that application platform objects of JMP are handled in a consistent and synchronized manner. JSL can also produce composite object-oriented GUI and toolsets of data visualization in JMP application backgrounds. It is also capable of accessing JSL from outside through COM (Windows). Via JSL in a JMP environs can significantly enhance the utility of JMP in tuning realistic data.
Beginning with JMP version 7, JSL further presents the ability to bring together SAS code to an isolated or remote SAS session. Using JMP version 8, the backing was added for ODS graphs, along with several regression plugins that offer interfaces for some SAS / Stat/ ETS processes to the JMP user. Through JMP version 9, JSL can too render and receive data and outcomes from the R programming language.
Moreover, there is a JMP Genomics plug-in developed by SAS, which derives with more than 100 analytical processes to simplify the processing of data involving microarrays, genetics, or proteomics. It consists of whole-genome SNP analysis, grouping instruments, experiment instrument design, etc. As SAS is a non-detachable part of JMP, we also offerSAS homework help online.
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