Additional covariance structures for mixed models and repeated measures.Local query builder and Excel import wizard.Other topics of interest (upon request), including design of experiments (DOE), quality, reliability/survival, data mining/predictive modeling, mixed models, repeated measures, bootstrapping, scripting, and time series.JMP integration with SAS, MATLAB, R and Excel.Analyzing data in JMP: basic inference, ANOVA, regression, and multivariate analysis.Data visualization, including mapping, Graph Builder, data filters.Navigating JMP and using its smart, graphical interface.
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In addition to the diverse set of tools JMP provides for analysis, you can easily subset, join and manipulate data tables in numerous ways, build summary tables using drag-and-drop and create 3D and moving graphics to help understand and communicate the results of your analyses. And then it displays results as statistics and multiple graphs in the same window. It drives you through the statistical analysis workflow using point, click, drag and drop. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel. Easily perform basic statistics to the most complex analyses a PhD student may encounter. JMP includes comprehensive capabilities for statistical and graphical analysis of data for every academic field and most research needs.
#JMP 13 PRO SOFTWARE#
While most statistics software requires the user to memorize commands, or where techniques and graphics are located in menus, JMP® provides a smart interface that reinforces concepts and provides an intuitive framework for real-world data analysis.
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A challenge in applied statistics courses is getting from concept to effective application.