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ARESULTSUMMARY procedure

Provides a summary of results from an ANOVA analysis (R.W. Payne).

Options

PRINT = string tokens What to print (description, means, significant); default desc, mean, sign
PSE = string tokens Standard errors to be printed with the means (sed, sedsummary, lsd, lsdsummary, dfmeans); default sed, dfme
LSDLEVEL = scalar Significance level (%) for least significant differences; default 5
SAVE = ANOVA save structure Save structure for the analysis; default uses the save structure from the most recent ANOVA

No parameters

Description

ARESULTSUMMARY investigates an ANOVA analysis, to provide the information that would be useful for a report. By default, all the information is printed, but you can control this with the PRINT option, whose settings are:

description prints the name of the y-variate, any covariates and the block and treatment models,
means prints relevant tables of means, and
significant lists the significant treatment terms.

The relevant tables of means are those that contain significant treatment effects. Also, each table contains all the significant effects involving any of its factors. In the example for the procedure, terms A, D, S and A.S are significant. Two tables of means are therefore presented, one classified by A and S, and the other by D. However, if the significant terms were A.S and D.S. there would be only one table, classified by factors A, D and S.

The PSE option controls the information provided with the tables of means:

sed standard errors for differences between means,
sedsummary summary of the standard errors for differences,
dfmeans degrees of freedom for the standard errors of differences,
lsd least significant differences between the means, and
lsdsummary summary of the least significant differences.

The default is to print the standard errors of differences and their degrees of freedom. Note: if all the differences between means have the same standard error of difference, a summary is printed for the settings sed and lsd, instead of the full symmetric matrices of values.

The LSDLEVEL option specifies the significance level (%) to use in the calculation of least significant differences (default 5%).

Options: PRINT, PSE, LSDLEVEL, SAVE.
Parameters: none.

See also

Directives: ADISPLAY, ANOVA.
Procedure: AFMEANS, A2RESULTSUMMARY.
Commands for: Analysis of variance.

Example

CAPTION  'ARESULTSUMMARY example',\
         !t('Randomized-block design with 3 treatment factors:',\
         'yields of mangold roots(t/acre) from Snedecor & Cochran (1980),',\
         'Statistical Methods (7th edition), page 314.'); \
         STYLE=meta,plain
FACTOR   [NVALUES=32; LEVELS=2] A,S,D
&        [LEVELS=4] Block
GENERATE Block,D,S,A
READ Yields
19.2 20.6 18.9 25.3 20.8 26.8 22.2 27.7
15.5 16.9 20.2 27.6 18.5 17.8 18.6 28.6
17.0 19.5 16.7 29.1 20.1 18.6 22.3 28.7
11.7 21.9 20.7 25.4 19.2 19.0 21.1 28.5 :
TREATMENTS D*S*A
BLOCKS     Block
ANOVA      [PRINT=aovtable; FPROB=yes] Yields
ARESULTSUMMARY
Updated on September 11, 2019

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