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Re: Getting the Aliasing table for a fractional factorial

To: "'jmp-l@lists.biostat.wustl.edu'" <jmp-l@lists.biostat.wustl.edu>
Subject: Re: Getting the Aliasing table for a fractional factorial
From: Moore Terri-ra4974 <Terri.Moore@freescale.com>
Date: Thu, 21 Jul 2005 08:26:00 -0700
Bob,
you should be able to specify the full factorial model in jmp then run the Fit Model analysis.  The 'singularity results' section should tell you what is confounded with what
 
Terri
-----Original Message-----
From: jmp-l-owner@lists.biostat.wustl.edu [mailto:jmp-l-owner@lists.biostat.wustl.edu] On Behalf Of Robert Kinley
Sent: Thursday, July 21, 2005 10:22 AM
To: jmp-l@lists.biostat.wustl.edu
Subject: [jmp-l] Getting the Aliasing table for a fractional factorial design


Hi

If I have a datatable for a fractional factorial design
which was not set up using JMP , is there a way of
getting its aliasing / confounding table ?

here's a typical datatable with 3 continuous factors,
2 categorical factors and one response variable.

temp   time   acid        pos.n        spin        response
20        3        44        HI        Yes        73
20        3        44        LOW        No        521
20        3        220        HI        No        55
20        3        220        LOW        Yes        77
20        6        44        HI        No        39
20        6        44        LOW        Yes        58
20        6        220        HI        Yes        67
20        6        220        LOW        No        941
80        3        44        HI        No        23
80        3        44        LOW        Yes        1217
80        3        220        HI        Yes        193
80        3        220        LOW        No        350
80        6        44        HI        Yes        201
80        6        44        LOW        No        230
80        6        220        HI        No        184
80        6        220        LOW        Yes        839

I know it's a half-fraction of a 2^5 design, but how
do I get the actual confounding details ?

        cheers                Bob Kinley


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