- JMP GRAPH BUILDER BORDER BAR GRAPH HOW TO
- JMP GRAPH BUILDER BORDER BAR GRAPH MANUALS
- JMP GRAPH BUILDER BORDER BAR GRAPH WINDOWS
1Ģ For example: In either case, make sure the column of outcomes has data type nominal.
JMP GRAPH BUILDER BORDER BAR GRAPH HOW TO
Here's how to do it in JMP's point-and-click graphical user interface: Arrange your data either: with a column of outcomes (one row per trial with values like 1 for success and 0 for failure or: in a summary table with a column of the outcomes (a column of the possible outcomes, 1 and 0 for success and failure, and a column with the count of each, say 125 successes and 6 failures. When you come right down to it, it's only easy to do one-proportion tests in JMP if you've been doing a lot of one-proportion tests and have a good memory.
JMP GRAPH BUILDER BORDER BAR GRAPH WINDOWS
And you know to look in all the context menus (those little inverted red triangles that mean "click me!" in JMP's results windows to find functionality that's hidden away in other analyses. Makes sense, right? Well, maybe if you've been using JMP for a long time. But you can do it in JMP of course you can do it in JMP! Turns out it's buried in the Distribution platform.
JMP GRAPH BUILDER BORDER BAR GRAPH MANUALS
You can search the Acrobat manuals well past 2000 pages now and you still won't find it. In so doing, this paper introduces a number of advanced JMP scripting techniques: assembling dynamic windows that combine a graphical user interface (GUI with analysis results choosing user interface elements that make proper usage self-explanatory providing help, tips, and cues to users needing further explanation conditioning script behavior on user choices MISSION (NOT QUITE IM-POSSIBLE: DO A ONE-PROPORTION TEST IN JMP Although it comes right out of Statistics 101, it isn't easy to figure out how to do a one proportion test in JMP. This paper presents a JMP script that surfaces a buried functionality (a one proportion test by presenting it in an easy-to-use custom analysis window that both explains how to do the analysis and steps the user through the analysis from start (data selection and organization to finish (final results. Once a best practice like this has been developed, JMP scripting can automate that best practice for routine execution on a schedule, or simplify its interactive execution through a custom workflow that steps even novice users through the proper steps and decision points. Further, many organizations have developed complex analytical workflows that must be executed routinely, consistently, and efficiently. With power, though, comes complexity, and as JMP's analytic capabilities grow, it becomes harder for even expert JMP users to master all of JMP's functionalities, particularly in the case of more obscure variations on statistical tests. INTRODUCTION WHY BUILD A CUSTOM ANALYSIS? JMP is famously easy to use, with its interactive point-and-click interface, but it's also immensely powerful a somewhat better kept secret that is starting to get out to SAS users. 1 JMP Scripting: Advanced Techniques Erin Vang, Global Pragmatica LLC, Oakland, CA ABSTRACT An introduction to the JMP Scripting Language (JSL by Erin Vang, author of the first JMP Scripting Guide (JMP version 4 and custom scripting consultant with Global Pragmatica ( this talk will present an example of how to build a custom analysis with a nice point-and-click interface.