SAS JMP Statistical Discovery Pro 14.3.0-0daytown

SAS JMP Statistical Discovery Pro 14.3.0 | 3.5 Gb

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Updated: Added SAS JMP Statistical Discovery Pro 14.3.0 macOs with updated license

The 14 version of JMP statistical discovery software from SAS provides users new opportunities for faster, deeper insights across the entire analytics workflow: new ways to connect to data sources, new tools to streamline data cleanup, and more options for data visualization and designed experiments. And with JMP Pro 14, the advanced analytics version of JMP, users have new tools for predictive modeling. Both JMP 14 and JMP Pro 14 are released today.

JMP 14 highlights
– JMP Projects to organize files and manage multiple open windows with a drag-and-drop tabbed interface.
– New Recode tools and automated routines to get data ready for analysis more quickly.
– Multiple file import to quickly and accurately combine hundreds – or even thousands – of files into one JMP data table.
– Graph Builder improvements including the new packed bars chart, which combines elements from treemaps and Pareto plots; finer graph customization; and easy creation of custom error bars.
– Interface to Python to connect to Python, send data, execute Python code and return data to JMP for analysis or visualization.
– HTTP Request to communicate with external web servers through JSL. Addition of JSON parsing functions makes it much easier to get web data into JMP.
– A-optimality criterion in Custom Design for putting different emphasis on groups of parameters through weighting.
– New Multiple Factor Analysis for sensory analysis to help identify groupings of similar products and detect outliers that can skew results.
– Drift detection, Goal Plot, three-way chart calculations and numerous UI improvements in Process Screening platform.
– Bayesian Inference for Fit Life by X.

JMP Pro 14 highlights
– New Functional Data Explorer to understand, clean, align and build models from sensor streams or batch process data.
– Discriminant analysis in Text Explorer to dig deeper into text.
– Validation column in Text Explorer for use in a predictive modeling workflow.
– More distributions, including more censoring, and multinomial response in Generalized Regression to build models for diverse data.
– Ability to publish recode columns to the Formula Depot.
– Improvements to K-NN and Naïve Bayes. K-NN adds model selection, and both add profilers.

Release Notes for JMP 14.3 – Date: March 2019

JMP 14.3 is a general maintenance release that contains enhancements and bug fixes. Applying this maintenance release is recommended for all users.

New Features
– On Windows, the libcurl DLL files have been upgraded to version 7.63.0.
– The Using JMP documentation PDF file is available in Korean.

General Improvements
– When closing a custom window that contains a platform and an On Close() function that closes a data table, JMP no longer closes abruptly.
– On Windows, the Oracle JRE has been removed from the installer. In JMP 15, the Azul JRE will be included.
– Dragging multiple response columns on the Structured tab in Categorical no longer causes JMP to close abruptly.
– In REML, the DenDF is now correct when the response is of great magnitude.
– In MaxDiff, the bar charts reflect the correct marginal probability values.

Product: SAS JMP Statistical Discovery
Version: Pro 14.3.0
Supported Architectures: 32bit / 64bit
Website Home Page : http://www.jmp.com
Language: multilanguage
System Requirements: PC / macOs
Size: 1.8 Gb