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• Correctly interpreting multiple significant interactions and main effects- JMP

  My analysis produced the below p-value table. I have made some conclusions based upon the results, but am unsure whether I am on the right track given the multiple significant interactions and main effects, specifically if I have reached too far.Preliminary results of this study indicate that soluble solids content and specific gravity differed across years, cultivars, and locations, but for SSC t...

  travis_alexande

  Discussions |

  Oct 16, 2015 8:10 AM

  8532 views | 4 replies

• Bug using Concatenate/Append on tables having columns with List Check

  // This code shows the bug.  Concatenate with Append To First Table results in data corruption.dtA = new table("A");dtB = new table("B");dtA << Add Rows(3);dtB << Add Rows(1);colA = Column(dtA, 1);colB = Column(dtB, 1);colA[1]="A";colA[2]="A";colA[3]="C";colB[1]="B";dtA << Compress Selected Columns(dtA << Get Column Names());// This data has no List Check, but is not corrupted(dtA << Concatenate(d...

  robert_j_moser

  Discussions |

  Oct 15, 2015 10:07 AM

  8832 views | 7 replies

• Sufficient DF's- NonEstimable error message for Full Factorial

  I have a dataset with 4 treatments (Locations) that were repeated for 3 Years. When I run a full factorial (Year, Location, Year*Location) I get the nonEstimable error message, as seen below. When I analyze just Year and Location with no interaction, I do get results as seen below. Now when I don't select a By element in the Fit Model control panel, specifically don't select Cultivar as a By eleme...

  travis_alexande

  Discussions |

  Oct 15, 2015 7:23 AM

  3847 views | 2 replies

• Multiple Orthogonal Regression

  I have a multiple linear regression fit that has an actual by predicted plot that looks like this:Actual by Predicted Plot What can I do with it to get a better fit as there appears to be a bias from standard regression. Is there away to due multiple orthogonal regression in JMP or SAS and if so how? Is there another technique in JMP I can use to address this? The model is only main effects.

  bjbreitling

  Discussions |

  Oct 13, 2015 4:01 AM

  5149 views | 1 replies

• How many DFs are required to test X number of main effects - JMP Fit Model

  I have been asked to analyze multiple main effects and their various interactions, but don't think I can do so as I achieve Lost DFs error messages when I use the Fit Model analysis. In case it helps, here the details of the data. Main effects (size): Location (4), Cultivar (4), Region (2, 2 Locations grouped per region), and Year (3). I only get results/appear to have enough DF when I run any two...

  travis_alexande

  Discussions |

  Oct 8, 2015 12:03 PM

  12493 views | 6 replies