The software is focused on exploratory visual analytics, where users investigate and explore data. JMP can be automated with its proprietary scripting language, JSL. It formerly included the Graph Builder iPad App. The software can be purchased in any of five configurations: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Live. JMP is used in applications such as Six Sigma, quality control, and engineering, design of experiments, as well as for research in science, engineering, and social sciences. It has since been significantly rewritten and made available also for the Windows operating system. It was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems. JMP (pronounced "jump" ) is a suite of computer programs for statistical analysis developed by JMP, a subsidiary of SAS Institute. See Column info in “NHANES_HCM757” dataset.Statistical package, visualization, multivariate analysis, genomics, biomarkers, clinical.Tables Menu (Subset, join, concatenate/append, stack, split, summarize/tabulate) Video 10: Graph Builder Overlay Plots Charts ** The example graphs were made using the “Lipid” data: Help> Sample Data> Medical studies> Lipid data Advanced graphic editingĮdit> Layout menu for more advanced graphics editing Look at the relationship between a nominal variable (Y) and a continuous variable (X).Look at the relationship between 2 nominal variables.Look at the relationship between a continuous variables (Y) and a nominal variable (X).Look at the relationship between 2 continuous variables.Analyze> Fit Y by X (This legend indicates on the lower left indicates the appropriate analysis based on the modeling type of the variables.).Look at the data items or variables in relationship to each other. Use lasso tool to choose a group of points.Right click on points for options to inspect them further.How are the variables distributed? Are there outliers? Are the outliers invalid data points? Are there corrections that should and can be made?.Look at variables or data items (also called columns) individually and appraise and describe their validity. Step 1: Univariate Analysis: Distribution Video 6: Recoding values and value labels.Create a new indicator variable indicating glycohemoglobin >= 6 using a formula.Right click on column or variable name → Column Info Video 5: Copying and pasting your work Saving scripts so you can rerun themĭata Transformations (recoding, value labels, value ordering, formulas).Save your analysis in scripts for re-submission.In Word or Powerpoint (or other destination), Edit>Paste or Edit>Paste Special> Picture (Enhanced Metafile).Copy and paste: Select graphs and sections of a report and copy paste into Word, PowerPoint, etc.Table attributes: Rows, columns, the 4 window panels, move columns, edit column names, resize, Column Info.The “ ?” tool (Note: this feature does not work on Macs with the Snow Leopard operating system).Books: JMP Introductory Guide and more….Open existing data files of several types (JMP, Excel, and other…).Open JMP by double-clicking the desktop icon.The "Help > Sample Data" directory in JMP contains several data tables from different domains, and some of these will also be used to illustrate examples. To download it, click NHANES_HCM757.jmp and choose to Save the dataset as NHANES_HCM757.jmp in a location or folder of your choice. If you want to practice further with real data, the 2007-2008 National Health and Nutrition Examination Survey (NHANES) dataset is available. Help>Sample Data>Examples for Teaching>Big Class.In this workshop, we will use the " Big Class.jmp" dataset available in the "Help > Sample Data" directory in JMP:
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