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Latest Discussions

• Need Uneven Intervals on X Axis in Graph Builder (value labels didn't work)

  Hello all,I've seen similar questions but nothing quite like this one.  I have data that looks like this:PeriodStart DateEnd DateRF101Jan200531Dec20050.1201Jan200630Jun20060.2301Jul200631Dec20060.3401Jan200731Dec20070.4The Period column consists of consecutive integers, usually starting at 1.  As you can see the Start Date column has uneven increments.  Users want to see a graph of RF vs Period:Ho...

  pmroz

  Discussions |

  Mar 17, 2016 5:06 AM

  9680 views | 4 replies

• Linear fit

  Hi,Somehow I am unable to do a simple task and need help.How do I create a "Fit each value" and "Linear fit" with Months of a year on x-axis and percent values on y-axis?I am trying to use "Fit y by x": Looks like the Month-Year column needs some fixing.I can only select the "Contingency" option; "Bivariate" option becomes deactivatedThanks for your tolerance.Kanchan

  kanchanjoshi

  Discussions |

  Mar 16, 2016 1:46 PM

  8943 views | 2 replies

• Making a new DT with tabulate with jsl

  I'm trying to make a new dt from tabulate, but for some unknown reason, it doesn't work! Anyone know why?DT2 = (DT1 << Tabulate(  Show Control Panel( 0 ),  Add Table( Row Table( Grouping Columns( :age, :sex ) ) )) << Make Data Table);

  theo_beluzzi

  Discussions |

  Mar 16, 2016 11:58 AM

  5701 views | 2 replies

• How to select independent variables via PCA?

  Hi all,   in order to develop a prediction model I have the need to accurately filter the variables to use. Specifically, I want to use variables that are not correlated. One effective way of doing this is to apply PCA and select the variables providing an eigenvalue > 1.0. If I apply this example to the JMP example (Principal Components Report), then I would select only 1 variable. In my data, th...

  dfalessi_calpol

  Discussions |

  Mar 16, 2016 11:42 AM

  14657 views | 7 replies

• Nominal/Ordinal logistic regression

  I’m using a logistic regression nominal model for a response variable (pregnant/not-pregnant). My independent variables are: Time of insemination + Production type + interaction. When TOI (48, 52, 56h) is described as a nominal variable both PT and the interaction are significant. When TOI is used is described as a ordinal variable, only the interaction is significant. Why is this relevant to the ...

  illimani

  Discussions |

  Mar 16, 2016 9:32 AM

  10359 views | 2 replies