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• Creating JSL functions implemented in Python

  You want to keep coding in JSL, but for a particular function, you know there's an easy way to write it in Python. So how do you create a JSL function that implements its functionality in Python?

  Paul_Nelson

  JMPer Cable |

  Apr 30, 2024 6:30 AM

  5049 views | 16 replies
  

• JMP® 18: Going beyond simply satisficing Pythonistas

  JMP Principal Systems Developer Paul Nelson spearheaded the effort to create a consistent, full-featured, integrated development environment for writing and executing Python scripts within JMP in JMP 18. The result? A  more productive environment for Python developers that works immediately when installed, gives direct memory acces to Python data tables in a live environment, and  an integrated Py...

  gail_massari

  JMPer Cable |

  Apr 22, 2024 10:53 AM

  4033 views | 10 replies
  

• New in JMP® 18: Python jmp.DataTable and pandas.DataFrame

  JMP 18 introduces a lot of new capabilities, including revamped Python support, which allows users to directly access, modify, and create JMP data tables from Python. This is accomplished through the jmp.DataTable Python object.  Keep reading to learn how to create a pandas.DataFrame from a JMP data table, as well as the reverse, a JMP data table from a pandas.DataFrame live and in-memory.

  Paul_Nelson

  JMPer Cable |

  Apr 10, 2024 6:00 AM

  4396 views | 1 replies
  

• New Platform Presets in JMP® 18

  Applying a sample Platform Preset Making our own Platform Presets Managing your Platform Presets Exporting and sharing your Platform Presets Exporting presets to a file Creating an add-in with a bundle of Platform Presets Platform Presets pro tips Broadcasting Copy and paste platform settings Summing up I love efficiency, and one of the reasons I love JMP is that I can do so much in the software ...

  julian

  JMPer Cable |

  Apr 5, 2024 8:45 AM

  5327 views | 1 replies
  

• Measuring the reliability of repairable systems made up of non-repairable components

  In component reliability, or non-repairable system reliability, we assume that after a component has failed, it is discarded and can’t be repaired. Lifetime of components is modeled using Weibull or lognormal distributions (among others), and the goal is to estimate the time that a given proportion of parts will have failed or the proportion of parts that will fail at a given time.    In system re...

  Di_Michelson

  JMPer Cable |

  Apr 2, 2024 6:00 AM

  1215 views | 0 replies
  

• Prediction Profiler enhancements in JMP® 18

  The Prediction Profiler has undergone many generations of improvements over the years, and even more features and functionality have been added in JMP 18.

  mia_stephens

  JMPer Cable |

  Mar 21, 2024 7:03 AM

  4791 views | 1 replies
  

• Don’t let the name fool you: Fatigue Model in JMP® 18 can invigorate your reliability success

  The reliability of particular parts is related to cyclic loads of stress and is determined by the stress level. Fatigue modeling is relevant for a whole host of products using metal, including bridges, springs, turbine blades, airplane wings, tooling devices, and any product made with metals and other materials subjected to tension, compression, shear, bending, or torsion. The relationship between...

  gail_massari

  JMPer Cable |

  Mar 19, 2024 8:32 AM

  1086 views | 0 replies
  

• Sometimes special data need special modeling tools. JMP® Pro Functional Data Explorer to the rescue!

  JMP developers have designed all the model fits in the JMP Pro FDE platform to rely on basis function expansion, a method for capturing non-linear relationships using a set of independent functions. Why? Not all data contributing to a problem, or resulting from a process, are equal, such as functions, signals, spectra, or series defined over continuums like time, spatial location, and wavelengths....

  Di_Michelson

  JMPer Cable |

  Mar 19, 2024 5:53 AM

  1528 views | 1 replies
  

• Using JMP to create SuperPlots

  See how to reproduce a SuperPlot using JMP with an emphasis on presenting observation-level variability and experimental reproducibility simultaneously.

  laura_archer

  JMPer Cable |

  Mar 18, 2024 9:58 AM

  3129 views | 1 replies
  

• New features in JMP® Clinical 18

  JMP Clinical 18 (planned for release March 2024) has several new and important features, including new reports, a new method for querying the study data, and a new clinical data mapping tool. In addition, a thorough review and overhaul of product performance provides greater speed for loading and analyzing studies. JMP Clinical is a focused and specialized product for clinical trial data review. ...

  SamGardner

  JMPer Cable |

  Mar 18, 2024 9:54 AM

  2748 views | 0 replies
  

• OSIsoft PI Server Import in JMP 17

  JMP 17 includes a new data connector that allows users to connect to an OSIsoft PI server. Users can find this capability from File -> Database -> Import from OSIsoft PI server…

  Daniel_Valente

  JMPer Cable |

  Mar 18, 2024 9:53 AM

  4592 views | 4 replies
  

• Search comes to JMP with JMP 17

  Search JMP is a contextual search of JMP features available to you from the current window. It's new in JMP 17.

  LandraRobertson

  JMPer Cable |

  Mar 18, 2024 9:49 AM

  2067 views | 1 replies
  

• Using JMP to Find the Area Under a Curve

  A common question users ask is how to use JMP to find the area under a curve. In this blog post, I’ll review a few possible ways to do so in JMP.

  sseligman

  JMPer Cable |

  Mar 18, 2024 9:15 AM

  9458 views | 1 replies
  

• Genomics and wide fitting data in JMP Pro 17

  JMP Pro 17 incorporates a significant change to how genomic data analysis is performed in JMP. JMP previously relied on a backend connection to SAS to perform primary data import and computations using customized user interface dialogs and output dashboards in JMP. The new release allows you to do this work directly in JMP Pro and no longer uses SAS or additional customizations. Distinguished Rese...

  LandraRobertson

  JMPer Cable |

  Mar 18, 2024 9:10 AM

  2422 views | 0 replies
  

• How to perform Bioassay analysis with JMP

  Different methodologies are used in Bioassay tests. In this blog I describe bioassays examples using JMP that are commonly used.    

  Valerie_Nedbal

  JMPer Cable |

  Mar 18, 2024 9:04 AM

  13523 views | 16 replies
  

• JMP is Pythonic! Enhanced Python Integration in JMP 18

  JMP 18 has a new way to integrate with Python. The JMP 18 installation comes with an independent Python environment designed to be used with JMP. In addition, JMP now has a native Python editor and Python packages specific to JMP. This JMP Python environment has enhanced connectivity and interaction with JMP, which means using Python with JMP has never been easier. In this series of blog posts, I ...

  SamGardner

  JMPer Cable |

  Mar 1, 2024 6:00 AM

  12676 views | 12 replies
  

• JMP Pro for Genomics and Wide Data: A New Resource

   In this figure, the t-Distributed Stochastic Neighbor Embedding (t-SNE) method clusters genes so that those genes that are structurally or functionally related can be more easily identified.   

  SamGardner

  JMPer Cable |

  Feb 26, 2024 6:05 AM

  2572 views | 0 replies
  

• What's new in JMP® Live 18?

  Organizations rely on JMP Live because it enriches how discoveries are shared, how collaboration happens, and how data-driven decisions are made. JMP Live 18 introduces new capabilities that further improve efficiency for seamless knowledge sharing. From simplified user management to a streamlined customer/supplier model, and more, JMP Live 18 empowers scientists and engineers – and those who coll...

  dieter_pisot

  JMPer Cable |

  Feb 16, 2024 11:41 AM

  2530 views | 0 replies
  

• New in JMP® Pro 18: Peak Finding

  There are quite a few great new capabilities in JMP Pro 18: updates to GLMM; more genomics capabilities; mixed models and response screening for big data; and updates to SEM, to name a few. But if I had to pick just one new feature that I’m especially excited about, it would be the Peak Finding capability in the Functional Data Explorer (FDE).
  
  Why is Peak Finding important?
  
  Many companies have chr...

  chris_gotwalt1

  JMPer Cable |

  Feb 16, 2024 11:39 AM

  6369 views | 4 replies
  

• Data Connectors in JMP® 18: Improving data access and configuration

  Data access is fundamental. It’s often the first step in the analytic workflow, but it's frequently a source of frustration for scientists and engineers who struggle to access the data they need to answer their specific analytic questions. While JMP has long provided useful capabilities for retrieving data from files, databases, and other data sources, the release of JMP 18 introduces a significan...

  Daniel_Valente

  JMPer Cable |

  Feb 16, 2024 11:36 AM

  5808 views | 2 replies