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• Calculate constrast and effect for each factor to define which one is significant factor

  Good evening everyone,I have 5 factors (A,B,C,D,E) in this excel. However, the only haft-fraction of a 2^5 experiment is used to study. The excel file is provided with test run and observation. I used taylor (1/ -1) to fill the design matrix for main effect with interaction effects.Based on this excel value, I need to find the contrast and effect for factor A,B,C,D, and E.I did this in excel:    C...

  tramnguyen2811

  Discussions |

  Apr 23, 2021 2:27 PM

  2711 views | 3 replies

• How to correctly clear a Row State Handler

  I have a very simple Row State Handler that makes sure that a given selected row can never be unselected.  The issue is, that I want to turn off that functionality and continue with normal operations. Here is the simple script that locks down row 15 to always be selected.   names default to here(1); dt=open("$SAMPLE_DATA\big class.jmp"); x=15; dt << select rows(x); setrow = function({x},dt<<cl...

  txnelson

  Discussions |

  Apr 23, 2021 10:15 AM

  13339 views | 6 replies

• Adaptive DOE to play "Battleship"

  Hi All,   The other day my son asked to play the grid-paper version of "Battleship". Each person had 5 "ships" that were 5, 4, 3, 3, and 2 units in length (and one unit wide). The "ships" were placed on a 10 by 10 grid in X-Y space; each "ship" had a unique set of (x,y) coordinates. For example, one of the 3 unit "ships" could have coordinates (3,4), (4,4) and (5,4). No more than one "ship" can oc...

  SDF1

  Discussions |

  Apr 23, 2021 8:50 AM

  1886 views | 2 replies

• Fit model with categorical variables (two of them 3 level and one 2 level)

  When I generate fit model with 3 categorical variables (two of them 3 level and one 2 level), it does not generate std error, t ratio and p values, can you please help why is it?

  gchaudhary

  Discussions |

  Apr 22, 2021 9:47 PM

  1015 views | 1 replies

• D-optimal or I-optimal design for minimal prediction variance at the limits of the factors of interest

  In the JMP technical details it says that D-optimality focuses on precise estimates of the effects whereas I-optimal designs minimize the average variance of prediction over the design space. Let's assume that I have two factors X1 and X2, vary each of them for example by +/-20% and want to have a precise prediction of my response exactly at the limits of my factor variation, i.e., at -20% and +20...

  Tina

  Discussions |

  Apr 21, 2021 8:44 AM

  11880 views | 3 replies