The red triangle options applicable to each platform in the Analyze and Graph menus are described in the following books:
The red triangle menu at the top level of every JMP report contains a Script menu. Most of these options are the same throughout JMP. A few platforms add extra options that are described in the specific platform chapters. Description of Script Menu Options lists the Script menu options that are common to all platforms.
If your data table contains row states and you do not want to affect them, use the Local Data Filter. The actions of this data filter are temporary and you can experiment with it.
Note: Platforms that do not support the Automatic Recalc option also do not support the Local Data Filter option.
If you have specified a By variable in the platform launch window, the Script All By-Groups menu also appears. These options apply to the reports for all the levels of the By variable.
To turn on Automatic Recalc for a report window, click on the platform red triangle menu and select Script > Automatic Recalc. To turn it off, deselect the same option. You can also turn on Automatic Recalc using JSL.
Note: For some platforms, the Automatic Recalc feature is not appropriate and therefore is not supported. These platforms include the following: DOE, Profilers, Choice, Partition, Nonlinear, Neural, Neural Net, Partial Least Squares, Fit Model (REML, GLM, Log Variance), Gaussian Process, Item Analysis, Cox Proportional Hazard, Response Screening, and Control Charts (except Run Chart).
Open the Candy sample data table.
Select Graph > Graph Builder.
Click Total fat g and drag to the X zone.
Click Calories and drag to the Y zone.
Click Cholesterol g and drag to the Wrap zone.
Select Cholesterol g and click OK.
Select Saturated fat g, Cholesterol g, Sodium mg, Carbohydrate g, Dietary fiber g, and Sugars g and click OK.
Column Switcher in Graph Builder Window
Click the Play button to cycle between the different factors. Use the slider to control the speed of the animation. Alternatively, you can step through each factor individually.
You can see that the relationship between calories and fat is relatively strong for each level of carbohydrate. Therefore, Carbohydrate g appears to be the best predictor of calorie levels.