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JMP13 Pro破解版 详细图文安装激活教程和新功能介绍
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SAS JMP Statistical 13简称JMP13，JMP13破解版是全世界数十万科学家、工程师和其他数据探索人员选择的数据分析工具，主要有JMP 13和JMP 13 Pro两个版本，两款工具都提供一系列丰富的算法，让您能够利用现有数据构建高效的模型。JMP 13 Pro是专业版，除拥有JMP的所有功能外，还提供一些可使您从容应对复杂分析工作的高级功能，包括预测建模和交叉验证技术，能使您的统计发现工作提升至全新的水平。
本次闪电吧小编带来版本为JMP13 Pro，附带全新功能和软件功能的全面介绍，并且带来了破解补丁和安装教程！
JMP 13 Pro安装破解教程：
1、运行JMP13安装包，点击&Setup&
2、软件要求.Net 4.6.1的支持，没有的话会自动弹出安装
3、点击下一步
4、接受许可协议
5、选择安装目录
6、选择安装共E呢
7、点击安装
8、安装完成后，运行JMP13注册机&JMP13_LicGen.exe&，自动在当前目录下生成许可文档&License.txt&，然后双击打开，运行JMP 13快捷方式，将许可中的序列号复制到窗口，然后勾选&手动&，点击&激活&
9、然后将Code中的内容复制到响应代码中，点击确定即可完成破解
10、如图，JMP 13破解版安装完成
JMP 13Pro新功能：
1、数据导入、数据表、清除、数据可视化、常规
& JMP查询生成器：能够执行多表查询和拼接成JMP数据表。这能够帮助您发现感兴趣的数据，并以正确的方式进行可重复、可分享的查询。此外，您还可导入各种来源（如Excel、JMP、Oracle、SQL）的数据，并可使用JMP查询生成器在内存中拼接这些数据的表格。并进行SQL代码的生成和原型设计。此外，还包括针对分类变量的过滤增强、扩展的分类过滤首选项设置、前N行抽样、打开时运行选项、自动拼接改进等。
& 使用播放按钮，可一键在数据表中运行脚本，无需进行菜单选择。
& 改进对&海量数据&数据库的支持，其中包括：Apache Hive、ClouderaImpala、Amazon Redshift、AmazonAurora和Amazon MariaDB。
& 扩展&建模类型&，增加了&无&、&多重响应&和&非结构化文本&。
& HDF5文件导入：处理简单的2维HDF5文件类型（不含矢量单元格的数据表）。
& 通过&文件&&&快速打开&，可按名称搜索JMP文件，无需通过文件浏览器浏览（仅Windows）。
& 支持虚拟拼接：不必通过&链接ID&和&链接引用&等列属性进行实际拼接，便可预览拼接两个或多个JMP表结果。
& 基于HTML的新的帮助系统提升了搜索、索引的效率和速度。
& 调整后的公式编辑器更便于创建和查看公式。
& 建模工具已移至&分析&菜单的&筛选&子菜单。&预测变量筛选&（原名为&筛选预测变量&）将&筛选&子菜单与&响应筛选&及&过程筛选&平台拼接在一起。
& 可导入和导出JSON数据。
& Excel导入向导加入用于导入单元格颜色、指定多行列名中分隔符、堆叠数据和复制扩展行中列名的选项。
& 图形生成器中提供平行图元素。
& 改进图形生成器中的矩形树图：支持N-级，单击子类别即可深入查看，且提供适用于单色树状图的选项。此外，还为创建易懂、复杂矩形树图改进了标签和字体。
& 图形生成器中的常规改进：允许指定置信区间的alpha水平。添加&排序方式&的右键单击菜单项。在图形中添加用于定位图例的选项（左或右）。线形图元素具有&忽略缺失值进行连接&选项。新&图例设置&菜单项。为&线形图元素&添加&中心化步进&选项。添加&几何均值&。添加用于显示相关性值的&椭圆&选项。为&点&、&回归&、&平滑线&、&标题&和&公式&添加&响应轴&属性。对于&线形图&和&条形图&，允许缺失X变量。条形图过去将缺失X的情况视使用&图形生成器&，创建在单个图形中显示多个变量的&平行图&。如果您喜欢挖掘数据的潜在规律和发展趋势，JMP& 13和JMP& Pro 13将满足您的需求。借助这款最新的SAS统计发现软件，用户可以像探索结构化数据一样探索非结构化数据，在进行表格拼接时无需考虑数据存储的问题，并且仅需点击几次鼠标便可构建仪表板。当然，这仅是13的一部分优点，您可在线查看新功能的完整清单。请
& 在&常规&页面上设置&自动保存超时&首选项后，将定期保存活动的数据表、记录和脚本。
& 新平台：分位数、周中日缩写、随机采样、移动均值、滞后。
& 图例设置对话框中的新亮度约束。
& 新色彩方案：翠绿色和岩浆色。
& 新的定制数值格式选项，对轴标签特别有效。
2、构建仪表板与共享
& &应用程序生成器&中的&仪表板构建&模式现为默认设置。选择&文件&&&新建仪表板&将调用模板界面，可在其中轻松构建JMP报表和数
据表的定制仪表板。仪表板提供将报表合并到单个窗口中的交互式方式，并可成为一种可视化工具，让您可以定期运行和展示报表，而无需脚本。
& &合并窗口&现在增加了用于在汇总视图中预览合并报表和在创建时添加图形（选择）过滤器的选项。现在，可使用&合并窗口&通过单击鼠标创建JMP仪表板。
& 新的交互式HTML选项
3、可增强您的分享能力：
o &查看&&&创建网络报表&选项可创建显示报表、描述性文本和图形的网页。生成的文件夹、索引页和获得的交互式HTML报表可上传至网络服务器，以分享按日期或项目分组的交互式JMP报表。
o 可为图形生成器的交互式HTML报表提供部分支持。
o 可为仪表板构建器的内置仪表板布局提供交互式HTML支持。
o 可为交互式HTML报表提供值标签支持。
o 交互式HTML试运行报告为JMP元素所不支持的内容生成到JMP日志中。
& &查看&菜单中的&生成Excel工作簿&命令使您能够在单个MicrosoftExcel工作簿中保存多个JMP数据表。
4、实验设计(DOE)
& 实验设计菜单中提供拟合确定性筛选。专为确定性筛选设计(DSD)量身定制的建模技术。
& 实验设计菜单有所变化，许多设计器被归入新的描述性标题下。
& 为DSD添加了&额外运行次数&选项。这将创建具有DSD所有别名属性的设计，但执行额外运行时分析功能更强大。可选择零、四或八次额外运行，效果相当于添加和放置额外因子。
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Copyright © 2012 SDBETA.com. All Rights Reserved数据分析工具下载|JMP Pro 11 官方版 - 绿色软件下载 - JZ5U绿色下载站
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JMP Pro 11 官方版
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JMP Pro 11是一款专业简洁的数据分析软件。由SAS公司开发而来，采用先进的算法，可以帮助用户实现高效的数据分析，以统计方法的实际应用为导向，交互性和可视化能力强，适用于非统计专业人员使用。新版本增加了六大功能，可以大大提供分析速度和准确性。欢迎有兴趣的朋友前来jz5u下载JMP Pro 11使用！
　　1)支持所有常用的分析工具(包括统计分析方法、分析图形等);更能提供诸多实用的高级功能，包括高级实验设计、数据挖掘(决策树、神经网络)、专业模拟功能等;
　　2)软件本身对数据表的大小没有限制;
　　3)强大的海量数据分析能力。例如：读取1500万行数据需要72秒，对其做直方图只需8秒左右(测试平台：*PC used was running Windows XP, 3.6 GHZ Mobile Pentium, 1GB RAM);
　　4)可以用生动的图形表现几乎所有复杂统计模型;5)JMP脚本语言JSL能实现分析自动化(Analysis Atomization)，开发拓展功能;
　　6)支持32位和64位软硬件平台;
　　7)具备全面的质量管理及六西格玛工具集，全面满足六西格玛改进(DMAIC)和六西格玛设计(DFSS)对统计分析工具要求。
　　1、构建更佳的模型
　　任何人都能对上一年的业绩进行出色的整理和说明。但是，没有适合的预测分析工具，就会大大增加通过建模预测新客户、新流程或新风险的难度。JMP Pro提供一系列丰富的算法，让您能够利用现有数据构建高效的模型。
　　2、改善预测模型，帮助您做出更明智的决策
　　利用各类数据增强预测模型的功效，其中包括您所收集的非结构化文本数据，如修复日志、工程报表和客户调查反馈等。您可以通过JMP Pro对数据加以组织，将其转化为实用的预测模型辅助信息，从而做出更自信的决策。
　　3、更好地构造及管理模型，让您更加高效地部署您的模型
　　操作模型并不是一件苦差事 & JMP Pro让您能够在处理多个模型的同时管理您的工作。您可以对模型进行存储、刻画、对比，并通过生成代码将其添加至SAS等其他系统中。
　　4、提供最有效的统计工具，让您的工作如虎添翼
　　JMP Pro提供一系列极为实用的统计工具，并辅以参与JMP开发工作的数学家和统计学家的支持。用户即不需要在功能中进行茫然的选择，也无需编程，即可进行数据分析工作。此外，通过动态链接的数据、统计和图形数据，JMP Pro能够通过三维图形或动画生动呈现调查结果，从而生成极具价值的新见解以简化您的说明。
　　5、JMP Pro的重要功能
　　&预测建模和交叉验证
　　JMP Pro提供一系列丰富的算法，让您能够更高效地构建和验证模型。
　　&模型比较
　　构建多种模型，从中找出最适合您的问题解决方案。
　　&模型库和模型评分代码
　　在模型库中组织模型并保存模型评分代码。
　　&连接SAS的丰富资源
　　可轻松利用强大的SAS分析与数据集成能力。
　　&新型建模
　　采用广义回归等全新建模方法，能够创建更为出色的模型，颇具挑战性的数据也能处理。
　　&可靠性框图
　　轻松弥补系统弱点，获得更详实的系统信息，从而避免系统在将来发生故障。
　　&可修复系统模拟
　　模拟系统修复事件，了解停机以及可修复事件的次数和成本。
　　&覆盖矩阵
　　通过设计实验尽可能找出缺陷，最大限度降低成本并缩短时间。
　　&混合模型
　　分析同时涉及时间和空间的数据，对多个对象进行测量，或将多组变量进行关联。
　　&提升模型
　　预测最有可能对某项活动做出积极响应的消费者群体，从而制定有针对性的营销决策。
　　&高级计算统计
　　使用精确统计检验、精确非参数统计检验以及bootstrapping统计。
　　&分享和交流结果
　　借助生动的动态链接数据分享发现成果，这些数据以动画、三维图形以及交互式报表的形式加以呈现。
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Copyright 软件学堂(www.xue51.com).All Rights Reserved备案编号:浙ICP备号-1New in JMP(R) 14 and JMP(R) Pro 14
Scientists, engineers and other data explorers need a highly visual and interactive way to discover what’s hidden in their data. The latest version of JMP offers new and enhanced ways to do just that. JMP 14 includes new ways to access rich data sources and new tools to streamline the data cleanup process. For those scientists and engineers who have chosen JMP Pro 14 for their data analysis needs, modeling tools are available to take analyses to the next level—no matter what form the data comes in. See what's new in JMP 14 and JMP Pro 14—with many of the features requested by users themselves.
Projects afford a new way to organize files and use JMP with a tabbed, web browser-like interface and can ease the pain of managing your workspace when many tables, scripts and reports are open at once.
The single-document interface provides a place to bookmark important files and displays a window list to let you see and easily move to any open window, data table or script. If you run repeated data queries, analyses and reports, using a Project is a quick way to collect a set of workflow tasks for streamlined sharing, saving and collaborating. With Projects, you can:
Choose which files to include in the project.Launch supporting documents (.ppt, .doc and .pdf) directly from JMP.Share and archive analyses.
Use Projects in JMP to organize files and manage multiple open windows with a drag-and-drop tabbed interface.
Import Multiple Files
Load from just a few to thousands of files at once into a single JMP data table.
For many users, each analysis begins with importing dozens, hundreds or even thousands of files. Before JMP 14, these users needed to write JSL scripts to perform such imports. With JMP 14, the Multiple File Import platform gives users a point-and-click way to quickly and accurately combine hundreds— or even thousands—of files into a single one.
Import multiple files into a single data table, or a collection of data tables (for example many free-text documents that need to be concatenated for use with Text Explorer), with just a few clicks. Specify import options, filter files by a variety of criteria (including size, date, name and type), and import to a single column (for use with Text Explorer) or into a multi-column table. Use Multiple File Import interactively, or have the platform write you a script to automate future imports.
Graph Builder Improvements
Graph Builder is the graph creation toolbox in JMP that helps you discover and share the stories within your data. With JMP 14, Graph Builder has new capabilities that enhance the data exploration process and further the publication-readiness of your findings. Among these new features is a new bar type that combines elements from treemaps and Pareto plots and many new options that give you finer control over graph customizations. Graph Builder receives many other enhancements in JMP 14, including:
Easily incorporated customized error bars.Marker Sizes from legend.Point dodging and jittering options.More control over contours including smoothing and shape clipping.Bootstrap confidence intervals for Smoother element.Support for additional basic statistical analysis directly in Graph Builder.
Control contours in Graph Builder with smoothing and shape clipping along with a variety of other Graph Builder enhancements introduced in JMP 14.
HTTP Request
Access data from a wider variety of sources with the new HTTP Request feature in JSL. You can communicate with external web servers using APIs and easily get your web data into JMP for analysis and graphing.
With direct database access and an ODBC driver, it is easy to query, join and filter data using Query Builder—but what happens when you'd like to perform an analysis using one of the many data sources available through web APIs?
JMP 14 introduces the JSL HTTP Request function. HTTP Request allows you to write custom scripts to communicate with external web servers (for example, Salesforce, Google Analytics or Twitter) through REST APIs. By using HTTP Request and the new JSON parsing functions, you can automate the process of fetching data from the web and placing it into JMP tables.
Data Tables Enhancements
Every JMP user works with data tables, and in JMP 14, they are even more powerful and easier to use. Now tables can use the values of any column—even an image column—as markers. They can also store hyperlinks to web pages, files and JSL scripts and perform several new single-click transforms. Additionally, more powerful Virtual Joins are possible with just a few clicks and a new column utility can easily convert between value labels and codes. A few other new features to enhance your use of tables include:
Improvements to copy-and-paste functions that let you paste free-text into a single data table cell.Grouping and nesting of table scripts for better script organization.Improved automatic category sorting for numeric suffixes (e.g., Lot 1, Lot 2...Lot 10, Lot 11).New invert column selection option.Ability to easily select duplicate rows from the rows menu.Updated Scripting Index with improved search capability, and a compact mode that pairs well with Projects.
Data tables can use the values of an image column as markers, allowing you to develop rich, easy to understand visualizations.
Restructure Data
Ensure the accuracy of your categorical data in even less time with the data restructuring enhancements in JMP 14. Improved filtering, text parsing options and support for multiple response data and value labels are just a few of the improvements to Recode in JMP 14.
Ensuring the consistency and accuracy of categorical data has always been one of the most time-consuming and tedious aspects of data cleanup. Recode is a tool that many scientists and engineers utilize daily to expedite the data cleanup process. In JMP 14, you'll find that Recode has additional tools and automated routines to get you analysis-ready more quickly than ever before.
With improved filtering and text parsing options, support for multiple response data and value labels and integration with the Formula Depot in JMP Pro, you won’t trust your data cleansing to any other tool. Here are just a few of the Recode enhancements in JMP 14:
RegEx support.Import Recode results column.Ability to create, consume and convert value labels directly from Recode.Option to publish recode formula to Formula Depot, which lets you perform data cleanup inline in a production environment without having to bring the data into JMP.Support for multiple response columns.Ability to group to new category.
Interface to Python
JMP 14 introduces Python into the suite of programming language interfaces in JMP, adding to the existing ability JMP has to connect to SAS, MATLAB and R. With the Python interface, JMP users can leverage in-house Python experts and pre-existing libraries, without leaving JMP. It also allows users to connect to a local install of Python, send data from JMP to Python, execute Python code from a JSL script and return data to JMP for data visualization, analysis and further exploration.
Use the JMP interface to Python to connect to a local installation of Python, send data, execute Python code and return data to JMP for follow-up analysis or visualization.
DOE Additions
New DOE capabilities in JMP 14 include Balanced Incomplete Block Designs (BIBDs), which can improve your custom designs.
The DOE platform in JMP is world-class, better enabling users to solve challenging problems in a wide variety of real-world settings. In JMP 14, numerous improvements to the DOE platform include:
A-optimality criterion added to Custom Designer. This is useful if the optimal design needs to focus more heavily on certain effects rather than others.Ability to create Balanced Incomplete Block Designs (BIBDs).Improvements to the way priors are specified when building Accelerated Life Test (ALT) Designs.In Compare Design, up to 10 designs can now be compared through a JSL interface and up to five with the UI.Improvements to the Fit DSD algorithm and options enabling the platform to find weakly quadratic terms and interactions having weak heredity.Addition of a pairwise incidence heatmap to MaxDiff designs.Improved space-filling over levels of a categorical factor.
Na?ve Bayes (JMP Pro)
JMP Pro 14 brings improvements to the Na?ve Bayes functionality introduced in JMP Pro 13. This classic approach allows classification of categorical responses in the data and works well with large data sets. It uses a simple estimate of the probability of conditional distributions of X given Y and reverses the conditional probability using Bayes' rule. In JMP Pro 14, Na?ve Bayes is rendered as a fully featured platform and offers the functionality available in other predictive modeling platforms, such as profilers and diagnostic plots.
In JMP Pro 14,&Na?ve Bayes is a fully featured platform, enhancing the modeling experience with the capabilities of other JMP Pro predictive modeling platforms.
K-Nearest Neighbors (JMP Pro)
The K-Nearest Neighbors (K-NN) feature is expanded in JMP Pro 14 to include a profiler and a model selection tool that lets you interactively change K to explore various model fits.
As with the Naive Bayes platform, JMP Pro 14 improves upon its K-Nearest Neighbors (K-NN) functionality. In JMP Pro 14, K-NN is now a complete platform with features available in other predictive modeling platforms, including profilers, a model selection tool that lets you interactively select K and diagnostic plots to help you build more robust models.
Text Explorer was an exciting addition to JMP 13, letting users explore unstructured text data in a point-and-click environment. Now, Text Explorer has enhancements that make it even more useful for digging deeper into text. Some of the updates available in JMP 14 include:
Chinese and Japanese language support.Better filtering options for tabular output, including terms, phrases and report lists.Per topic word clouds.Support for discriminant analysis (JMP Pro).Support for validation column in the platform launch for use in a predictive modeling workflow (JMP Pro).
Text Explorer is updated in JMP 14 with enhancements including Japanese and Chinese support.
Quality Engineering Improvements
CUSUM charts offer quality engineers the familiar look, feel and interpretation of traditional control charts.
Quality engineers will find a variety of new diagnostics and time-saving tools in JMP 14. CUSUM charts in JMP now have the familiar look, feel and interpretation of traditional control charts and the Process Screening platform adds Drift Detection, Goal Plots and the ability to generate three-way control charts directly from platform launch. The Process Capability platform adds new distributions and measures of variability, while a new platform, Manage Spec Limits, lets users easily import, export and modify spec limits.
Multiple Factor Analysis
Multiple Factor Analysis (MFA) is a sensory analysis technique whose goals are to find groupings of products that are similar and to identify outlier panelists—the panelists who are so different from the rest of the group that their values skew the results of the analysis. MFA allows the researcher to perform a PCA-like analysis with untrained panelists. It is often used for pre-evaluation studies, where many different products are being tested, as well as for later-stage consumer panel studies where many consumers—many of whom have no training on standard sensory measurements—rate the products.
The new Multiple Factor Analysis platform helps identify groupings of similar products and detect outliers that can skew results.
Functional Data Explorer (JMP Pro)
With Functional Data Explorer in JMP Pro 14, understand, clean, align and build models from sensor streams or batch process data.
Scientists and engineers are dealing with more and more data streamed from device-based sensors or batch process monitors. Hundreds or thousands of such data streams can create a large volume of data, very quickly, posing a unique set of challenges.
No matter what your industry, common difficulties exist with this type of data: simplifying and cleaning up messy data, removing outliers and building models that characterize an underlying function or relate a continuous data stream to measures of performance, such as yield, defect rate or product quality.
With Functional Data Explorer in JMP Pro 14, you can take advantage of this functional data, easily performing data cleanup, transformation, visualization and feature extraction. Ultimately, this allows you to more easily build models you can use to design experiments, characterize processes or make predictions.
Generalized Regression Improvements (JMP Pro)
Generalized regression is the premier linear modeling platform in JMP Pro. With Generalized Regression, you can build models for many kinds of data—for example, DOE data, observational data, data with categorical responses, messy data, text data, highly correlated data and more. It is a tool that fits models, selects variables, handles multicollinearity and provides diagnostic reports—all in one place. JMP Pro 14 introduces some key enhancements to the Generalized Regression functionality, including:
Support for censored response data now includes the Gamma and exponential distributions.Multinomial response support (nominal responses with more than three levels).Additional selection techniques: best subset regression, backwards elimination, pruned forward selection and the Dantzig selection (which has gained popularity in the DOE community for analyzing n&&p problems, liked supersaturated designs).New reporting features include a reset solution button, QQ-Plots, F-tests and reporting VIFs, adjusted R-squares and RMSEs.The platform has been adjusted for improved performance with large and/or complex problems with many effects.Generalized Regression now supports custom tests, and cross-validation within two-stage forward selection.
Generalized Regression helps you build models for many kinds of data, and with JMP Pro 14, its range has expanded to include additional distributions, support for more response types and additional selection techniques.
JMP(R) 14 and JMP(R) Pro 14 New Features Overview
Data Import, Data Table, Cleanup, Data Visualization, General
The new Projects system provides a way to organize files and use JMP with a tabbed interface to manage multiple open windows during analysis. Projects allow single document interface to JMP, selection of specific files to include, organization of a reconfigurable workspace, analysis sharing and archiving and document launching (of supported file types PPT, DOC, PDF) directly from JMP. New multiple file import launches a dialog to load several files into a single JMP data table. Allows filtering of files by size, date, name and type and supports one-column import, useful for Text Explorer document preparation. Within platform support for editing text import options.Virtual Join improvements offer access to data in one table by another table with just a few clicks. Graph Builder improvements include:New chart type, packed bar chart, shows skewed data across hundreds of categories.More control over graph customization.Easily incorporated customized error bars.Marker sizes from legend.Support for more basic statistical analysis directly in Graph Builder.More control over contours including smoothing and shape clipping.Bootstrap confidence intervals for Smoother element.Point dodging and jittering options.Parallel coordinates in box plots, points, histogram and violin plots.
New data table features include:Use column images as markers. Paste into cell.Grouping and nesting of table scripts for better script organization.Clickable links afforded by the Event Handler column property.Invert Column Selection option.New transforms are now in New Formula Column.Labels to codes and codes to labels columns utility.Select duplicate rows added to rows menu.
Interface enhancements improve workflow:Preference searching and filtering makes it easy to find a preference to be changed.Updated Scripting Index with better search and a compact mode that works well in a project.Preview results in Formula Editor before clicking OK.Better automatic category sorting for numeric suffixes (e.g., Lot 1, Lot 2… Lot 10, Lot 11).Grouping of scripts in a data table.File quarantine alert to protect against unknown executable code within downloaded JMP files.Updated OpenGL View Settings dialog for easier customization any 3D graph.
Enhancements to the Recode feature:Search box for more control over filtering.Improved Text Parsing.RegEx support.Recode results column import.Ability to create, consume and convert value labels directly from Recode.Support for multiple response columns.Recode formula publish to Formula Depot, which lets you perform data cleanup inline in a production environment without having to bring the data into JMP.Group to new category.Recode numeric continuous columns.
Build Dashboards and Sharing
Animated GIF recording and saving in JMP where there is a play button (Bubble plot, local data filter, column switcher for example) make it possible to embed a moving JMP visualization in a PPT slide, for example, without having to rely on Flash.Dashboard Builder adds easier-to-read drop zones, a blank dashboard template and the ability to store custom templates.Now select data in HTML5 report output.
Create Web Report functionality allows organization and sharing of the steps of an analysis project with an index page and links to interactive HTML reports. Create Web Report is now scriptable so the creation of the web report can be added to the end of a standard report script.Filter support in interactive HTML reports adds filtering through selection, but does not recalculate models, for example.
Design of Experiments (DOE)
A-optimality criterion added to Custom Design. This feature is useful when the optimal design needs to focus more heavily on certain effects rather than others, since there isn’t a natural way for D- or I-optimality to do this.Ability to create balanced incomplete block designs (BIBD).Improvements to the way priors are specified when building accelerated life test designs.In Compare Designs, up to 10 designs can now be compared through a JSL interface, and up to five with the UI.
Improvements to the Fit DSD algorithm and options let the platform find weakly quadratic terms and interactions that have weak heredity.
New option to create a data table from color map on correlations.Addition of pairwise incidence heatmap to MaxDiff designs. Improved space-filling over levels of a categorical factor.New option to create a run order column in Custom Design.
Statistics, Predictive Modeling and Data Mining
New Functional Data Explorer platform modifies functional form of sensor/signal/streaming or batch process data. With this platform, clean up, align and conform data coming from sensors, build models using a variety of techniques and use output models
and features in other predictive modeling platforms. PROText Explorer enhancements include:Support two Asian languages (Chinese and Japanese).Better filtering options for tabular output, including terms, phrases and report lists.Per topic word clouds.Support for discriminant analysis. PROSupport for validation column in the platform launch for use in a predictive modeling workflow. PRO
Generalized Regression has new features: PROAdditional distributions, including more censoring (Gamma and exponential distributions add support). Multinomial response support (nominal responses with more than three levels). Additional selection techniques, including best subset regression, backwards elimination, pruned forward selection and the Dantzig selection (which has gained popularity in the DOE community and is good for n&&p problems, liked supersaturated designs).Other features, including a reset solution button, VIFs, adjusted R-square, RMSE, QQ-Plots and F-tests. Finally, custom tests are supported, cross-validation support has been added for two-stage forward selection and the platform has been adjusted to perform faster with large and/or complex problems with many effects.
In Explore Missing Values, the addition of a new SVD/Matrix Completion-based approach incorporates validation into the dimension reduction step and scores new observations using the V matrix and a least squares estimate of the U for new rows of data. Explore Missing Values supports a validation column for imputation. PROProfiler Simulator adds distribution-based simulation of response errors in Standard Least Squares and Generalized Regression.Distribution platform: Addition of SHASH distribution.Extended support for Multiple Response modeling type.Adjustment made to the PCA algorithm using a sparse implementation that makes computing principal components much faster (even on non-sparse data). Also support for supplementary variables.Fit Stepwise uses transforms instead of formula columns for saving terms for parts of categorical effects.K-NN and Na?ve Bayes now have profilers. K-NN adds model selection to interactively change K and explore various model fits. Improved model diagnostics available in Na?ve Bayes platform. PROPerformance improvements to Formula Depot, including ability to publish recode columns, more model support and support for derived columns. PRO
Quality Engineering, Reliability and Six Sigma
Drift Detection, Goal Plot, three-way chart metric and numerous UI enhancements in Process Screening.New platform for managing spec limits.CUSUM Control Chart platform added to the Quality Engineering menu.
Addition of Bayesian Inference for Fit Life by X.For parametric survival, the addition of a nested model tests in addition to graphical comparisons to match Fit Life by X.Improved Fit Censored JSL function to improve performance of Life Distribution with very large data sets containing Interval Censoring.New Probability plot of Standardized Residuals in Cumulative Damage.New side-by-side comparison of fixed parameter results along with unconstrained results in the density profiler.
Improved interface for censor indicator in failure cause column for life distribution now works like censor with dropdown list.Recurrence analysis includes a calendar event plot, interarrival by age plot and save simulation command for the non-homogenous Poisson process models fit within the platform. Stepwise models saved as prediction columns now require only a single column.Repairable system simulation, cross-component event/action links can be turned off with the diagram operation option, which is useful for cleaning up a complicated diagram. Individual links can be viewed by selecting an action or event block to view a relationship when the cross-component link option is turned off. PROThree-way control charts can now be launched directly within the Process Screening platform.Process capability: additional distributions, measures of variability and new Process Performance Plot.
Automation, Scripting and Programming Interfaces
New ways to access data:New JMP interface to Python allows connection to local install of Python, sending data to Python, executing Python code from a JSL script and returning data and results from Python programs.New HTTPRequest() function in JSL allows access to web data using APIs:Allows you to communicate with external web servers using JSL.Communication occurs through APIs (Application Programming Interfaces).Used with the new JSL JSON parsing functions, HTTP Request makes it much easier to get web data into JMP with JSL.
Interface improvements to Scripting Index, including the option to show search results by relevance.Option to save encrypted scripts to data tables.
Consumer and Market Research
New Multiple Factor Analysis platform helps with sensory analysis, identifies similar products and outlying panelists and facilitates pre-evaluation studies, later-stage consumer panels and studies that have untrained panelists.
Hierarchical Bayes calculations in Choice have improved starting values before the MCMC sampling begins to reduce shrinkage for variance calculations and model parameters. PRO
Documentation
Download a PDF of the new features in JMP and JMP Pro or view our online searchable documentation.
User Resources
Connect with JMP
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