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Latest Discussions

• Non-numeric Pass/Fail Rate Analysis

  I'm a long time JMP user, but a first time poster.  I’ve searched and searched and cannot find a means to analyze data the way I’d really like.Attached is an Example data table that I’m using.For my specific example, each “ID” has ~700 unique X/Y coordinate locations.  And each one of those X/Y coordinate locations is tested for Pass/Fail.  (Pass = “.”; Fail = “F”).Ideally, I’d like:A Contour Plot...

  nldavis

  Discussions |

  Feb 2, 2015 9:31 AM

  6170 views | 3 replies

• Dynamic Charts and Graphs in JMP

  @Hi Dear Friends,I have question regarding the development of dynamic charts and graphs in SAS JMP. Is it possible by SAS JMP scripting? Here I need to include some list boxes, drop down menus,radio buttons and check boxes ect.. agin i need to link all these things to charts and graphs. Please help me or guide me, in achieving this task.Thanks,
  Swamy.

  swamypamu

  Discussions |

  Feb 2, 2015 7:29 AM

  7952 views | 5 replies

• Plotting Summary Statistics

  All,I have data that is broken down by lot, site, and then individual product.  Thus, a lot might have 9 sites, with each site containing 9 products.  Statistics are collected for each product.The data might vary site to site over a large number of lots.  To check this, I tabulate aggregate statistics by site, such as median and range.  I then convert the tabulated data into a data table and plot ...

  brian_bircumsha

  Discussions |

  Jan 30, 2015 1:26 PM

  14476 views | 6 replies

• Statistical Dispersion of XY Coordinates

  Hello JMP Community,I am working on a project and would like to analyze strings of data to determine statistical differences in clusters of XY coordinate data. Specifically, I would like to be able to determine if string 1 is less dispersed than string 2. I have made a mock dataset (attached) that illustrates the type of data I am looking to analyze. Additionally, I have attached a file that examp...

  benson_munyan

  Discussions |

  Jan 30, 2015 9:43 AM

  9586 views | 1 replies

• How does JMP determine the best model using AICc in stepwise regression?

  How does JMP decide which combination of variables are the "best" model using forward AICc in the stepwise regression module? In other words, how does it decide when to stop, and why does it sometimes decide that there is no single "best" model? I've read that there must be a difference in AICc of 2 or greater, otherwise the models are considered equivocal. Is that what JMP is using also?

  benjamin_schovi

  Discussions |

  Jan 29, 2015 2:03 PM

  20601 views | 4 replies