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Latest Discussions

• DOE with non-linear effects and blocking

  Hey all, I'm new to JMP, so perhaps a bit of a noob, excuse me for that =)In case my question has been asked and answered before, I'm perfectly fine with being redirected to that discussion. The problem I’m having right now is that I need to set up an experiment where we’re not sure about whether the effects of factors are linear or have some curvature. Some factors also influence each other (i.e....

  Vera

  Discussions |

  Nov 19, 2019 6:39 AM

  1480 views | 1 replies

• get bivariate plot as scritable

  Hello, how can I get a bivariate plot as an object in jsl script? like, if I plot this graph below thru the regular jmp GUI "FIT X by Y" and then I want to write something like  "Big Class" << get plot as scriptable;

  avner8943

  Discussions |

  Nov 17, 2019 12:52 PM

  2674 views | 1 replies

• I want change the numbers, 1 ~ 9 to 01 ~ 09 in column

  Hello, I have two column, Lot and wafer as shown below.How can I make wafer_rev column, where the single digit values (1~9) are changed to double digits (ex, 01, 02, ,,,,09. No change in 11~20) Is there a simple script for this ?Please advise me. LotwaferWafer_revDA1101FA2303UJ31111DS2903 Thank you in advance

  Myni

  Discussions |

  Nov 17, 2019 6:27 AM

  1351 views | 1 replies

• Does JMP calculate the "cumulative density function" of CDF?

  I'm searching for this code for the documentation, but I don't know what it means. Get expert help.Thanks! Names Default To Here( 1 ); /* Generate random values, Normal(0,1) */ Y = J( 150, 1, Random Normal() ); /* CDF function */ {Quant, CumProb} = CDF( Y ); Wait(0); /* Draw empirical and theorical CDF */ New Window( "Empirical CDF", Graph Box( X Scale( -3, 3 ), Y Scale( 0, 1 ), Pen Color...

  lwx228

  Discussions |

  Nov 13, 2019 12:21 PM

  2351 views | 2 replies

• General stat question - Nominal logistic regression vs Wilcoxon

  Hello, please help me to understand this - working with large datasets with continuous variables - most of the times I use models to a binary outcome (alive/dead).Many of my continuous variables are not normally distributed, hence I usually approach the test by Fit Model (Y=outcome, model effects - weight, nominal logistic). The distribution of the primary variable - weight:The outcome of the logi...

  marc1

  Discussions |

  Nov 13, 2019 9:21 AM

  2246 views | 3 replies