Saves information from the analysis of a multitiered design by
AMTIER (C.J. Brien & R.W. Payne).
||Saves the residuals|
||Saves the fitted values|
||Saves the analysis-of-variance table|
||Whether to save only the skeleton analysis-of-variance table (
||Whether to include lines for pseudo-terms in the analysis-of-variance table (
||Whether to omit lines of the analysis-of-variance table that contain only missing values (
||Save structure for the analysis; if this is not set, information is saved from the most recent
AMTIER procedure analyses data from designs that require up to three model formulae to specify their analysis (resulting from three or more tiers for the experiment). Information from an
AMTIER analysis can be saved by the
SAVE parameter, and input to
AMTKEEP using its own
SAVE parameter. Alternatively, if
SAVE is not set,
AMTKEEP will use the information from the most recent
FITTEDVALUES options save the residuals and fitted values, respectively, in variates.
AOVTABLE option saves the analysis-of-variance table. You can set option
PSEUDOLINES=yes to include lines for all the component pseudo-terms of a term; by default lines are included only for the term itself. You can set option
SKELETON=yes to obtain a “skeleton” analysis of variance, omitting the columns for sums of squares, mean squares and variance ratios. You can set option
OMITMISSINGLINES=yes to omit lines of the analysis-of-variance table, such as stratum headers, that contain only missing values.
Multitiered experiments are defined by Brien (1983), their design is discussed by Brien & Bailey (2006) and Brien et al. (2011), and their analysis of variance is described by Brien & Payne (1999), Brien & Bailey (2009) and Bailey & Brien (2013).
Bailey, R.A. & Brien C.J. (2013). Randomization-based models for multitiered experiments. I. A chain of randomizations. arXiv preprint arXiv:1310.4132: 30.
Brien, C.J. (1983). Analysis of variance tables based on experimental structure. Biometrics, 39, 53-59.
Brien, C.J. & Bailey, R.A. (2006). Multiple randomizations. Journal of the Royal Statistical Society, Series B, 68, 571-609.
Brien, C.J. & Bailey, R.A. (2009). Decomposition tables for multitiered experiments. I. A chain of randomizations. The Annals of Statistics, 36, 4184-4213.
Brien, C.J., Harch, B.D., Correll, R.L. & Bailey, R.A. (2011). Multiphase experiments with at least one later laboratory phase. I. Orthogonal designs. Journal of Agricultural, Biological and Environmental Statistics, 16, 422-450.
Brien, C.J. & Payne, R.W. (1999). Tiers, structure formulae and the analysis of complicated experiments. The Statistician, 48, 41-52.
Commands for: Analysis of variance.
CAPTION 'AMTKEEP example','Example from Brien & Payne (1999).';\ STYLE=meta,plain SPLOAD [PRINT=*] '%gendir%/examples/Amtier.gsh' AMTIER [PRINT=aovtable; FACTORIAL=5;\ F1=((Occasions/Intervals/Sittings)*Judges)/Positions;\ F2=(Rows*(Squares/Columns))/Halfplots; F3=Trellis*Method] Score AMTKEEP [AOVTABLE=aovtable] PRINT aovtable