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Latest Discussions

• defining function scope changes how result is returned

  Why don't all three of these return their unevaluated argument like the first one does? Is there a way to make the last two work like the first? Inside the function, e is still unevaluated, this seems to happen when the result is returned. names default to here(1); ns = New Namespace("n"); foo = function({e}, Name Expr(e) ); ns:bar = function({e}, Name Expr(e) ); show( foo( expr( notavar...

  ih

  Discussions |

  Apr 20, 2026 1:45 PM

  154 views | 0 replies

• How does JMP bias the rate of count when calculating the probability of Partition platform with categorical responses?

  For categorical responses Partition has the response rates that are slightly biased away from zero to avoid having attributed probabilities of zero. I would like to know how to calcurate the biased probabilities.

  Takashi

  Discussions |

  Apr 16, 2026 8:41 PM

  147 views | 0 replies

• Nested Two Way Anova Help?

  Hi, I am trying to analyze calcium transient data from cardiomyocytes. I moved to JMP because Prism cannot do a two way ANOVA on nested data but I cannot figure out how to run this analysis. I have 4 experimental groups (WT SHAM, KO SHAM, WT OVX, KO OVX) across two factors (genotype (WT/KO) and surgery (SHAM/OVX)) but I don't know how to add these variables prior to running analyses. For each anim...

  ClusterSeal6941

  Discussions |

  Apr 14, 2026 12:36 PM

  349 views | 0 replies

• Help with PPK on one-sided data which includes zeros

  I’m trying to calculate an appropriate PPK for data with the following criteria: Data lies between 0 and +InifinityA significant portion of the data is exactly 0, and this represents an actual true 0Has an Upper Spec limit onlyHeavily Skewed The distribution should be an appropriate distribution for the data. What’s the best way to get JMP to do this?

  david707

  Discussions |

  Apr 8, 2026 8:59 AM

  325 views | 0 replies

• Best practice in FDE when the main variation is a shift along X (phase variation) rather than a change in shape?

  Hello JMP community, I have been testing Functional Data Explorer on a synthetic data set where each curve is essentially the same motif translated along the X-axis, with little intrinsic change in amplitude or shape. In this situation, my impression is that the resulting FPCA/FPC basis becomes increasingly oscillatory, and the physical interpretation becomes difficult. In other words, one simple...

  Florent_M

  Discussions |

  Mar 17, 2026 9:29 AM

  273 views | 0 replies