help ctems
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Title

    ctems --         Cornfield-Tukey expected mean squares

Syntax

        ctems , index(list) levels(list) random(list) [ comment(string) ]

    options               description
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    Main
      index()             list of all the individual subscripts
      levels()            list of levels for each subscript
      random()            list of random effects (1) and fixed effects (0)
      comment()           optional comment
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Remarks

    ctems applies the Cornfield-Tukey alorithm to a special dataset to compute the expected mean squares for an anova model.  The dataset
    has two string variables: effect and subscript. There are as many rows as there are terms in the anova linear model.  In each row,
    effect is an ascii representation of each effect and subscript are the letters (and parentheses) of the index subscript.

    ctems is not a particularly easy program to use.  The program knows nothing about ANOVA or your design other than what is entered in
    the dataset and the command options.  It cannot detect inconsistencies or deficiencies in your model.  Please use ctems carefully.


Examples

. use crfdesign, clear /* two factor design */
. clist
        effect  subscript
  1.         A          j
  2.         B          k
  3.       A*B         jk
  4.         e      i(jk)
. ctems, index(i j k) levels(8 4 2) random(1 0 0)
. use crf422design, clear /* three factor design */
. ctems, i(i j k l) l(8 4 2 2) random(1 0 1 0)

Reference

    Kirk, Roger E. (1998) Experimental Design: Procedures for the Behavioral Sciences, Third Edition. Monterey, California:
    Brooks/ColePublishing. ISBN 0-534-25092-0

Author

    Phil Ender
    Statistical Consulting Group
    UCLA Academic Technology Services
    ender@ucla.edu