ALLPAIRWISE procedure
Performs a range of all pairwise multiple comparison tests (D.M. Smith).
Options
Parameters
Description
ALLPAIRWISE performs a range of all pairwise multiple comparison tests (see Hsu 1996 and Bechhofer, Santner & Goldsman 1995). The methodology implemented in the procedure closely follows that described in Chapter 5 of Hsu (1996).
The means are input using the MEANS parameter, either in a table saved e.g. from AKEEP, or in a variate. The replication (or number of observations in each mean) is supplied by the REPLICATIONS parameter, either in a scalar (if all the replications are equal) or in a structure of the same type as the means. The estimate of the variance (usually a pooled estimate as given by the residual mean square in ANOVA, and accessible using the VARIANCE parameter of AKEEP) and its corresponding degrees of freedom are input as scalars using the VARIANCE and DF parameters respectively. The LABELS parameter can be used to supply labels for the means.
The type of test to be performed is specified by the METHOD option, with settings Tukey, SNK (Student-Newman-Keuls), REGWMR (Ryan/Einot-Gabriel/Welsch multiple range test), Duncan, Scheffe, FPLSD (Fisher's Protected Least Significant Difference), FULSD (Fisher's Unprotected Least Significant Difference), Bonferroni and Sidak.
The DIRECTION option allows the means to be arranged in ascending or descending order. The PROBABILITY option allows the experimentwise significance level for the intervals to be changed from the default 0.05 (e.g. to 0.01). The ALSD allows the LSD test asked for (FPLSD or FULSD) to use the Studentized Range statistic rather than Student's t (for further information see Hsu, 1996, page 139).
Options: METHOD, DIRECTION, PROBABILITY, ALSD.
Parameter: MEANS, REPLICATION, VARIANCE, DF, LABELS.
Method
The methodology implemented is based on that described and reviewed in Hsu (1996), and Bechhofer, Santner & Goldsman (1995). For specific details of the tests these books should be referred to.
References
Bechhofer, R.E., Santner, T.J. & Goldsman, D.M. (1995). Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons. Wiley, New York.
Hsu, J.C. (1996). Multiple Comparisons Theory and Methods. Chapman & Hall, London.