Provides a summary of results from an analysis by A2WAY(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 = pointer |
Save structure from A2WAY; default uses the save structure from the most recentA2WAYanalysis |
No parameters
Description
A2RESULTSUMMARY investigates an A2WAY 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. If the interaction is significant in an analysis with two treatment factors, the relevant table is just the two-way table of means. Otherwise the relevant tables consist of the one-way tables of means for any significant main effect.
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.
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
Procedure: A2WAY, A2DISPLAY, ARESULTSUMMARY.
Commands for: Analysis of variance.
Example
CAPTION 'A2RESULTSUMMARY example',\
!t('Experiment on foster feeding of rats from Scheffe (1959)',\
'The Analysis of Variance; also see McConway, Jones & Taylor (1999)',\
'Statistical Modelling using GENSTAT, Example 7.6.')
FACTOR [NVALUES=61; LABELS=!t(A,B,I,J)] Litter,Mother
VARIATE [NVALUES=61] Littwt
READ Litter,Mother,Littwt; FREPRESENTATION=labels
A A 61.5 A A 68.2 A A 64.0 A A 65.0 A A 59.7 A B 55.0 A B 42.0
A B 60.2 A I 52.5 A I 61.8 A I 49.5 A I 52.7 A J 42.0 A J 54.0
A J 61.0 A J 48.2 A J 39.6 B A 60.3 B A 51.7 B A 49.3 B A 48.0
B B 50.8 B B 64.7 B B 61.7 B B 64.0 B B 62.0 B I 56.5 B I 59.0
B I 47.2 B I 53.0 B J 51.3 B J 40.5 I A 37.0 I A 36.3 I A 68.0
I B 56.3 I B 69.8 I B 67.0 I I 39.7 I I 46.0 I I 61.3 I I 55.3
I I 55.7 I J 50.0 I J 43.8 I J 54.5 J A 59.0 J A 57.4 J A 54.0
J A 47.0 J B 59.5 J B 52.8 J B 56.0 J I 45.2 J I 57.0 J I 61.4
J J 44.8 J J 51.5 J J 53.0 J J 42.0 J J 54.0 :
A2WAY [PRINT=*; PLOT=*; TREATMENTS=Litter,Mother] Littwt
A2DISPLAY [PRINT=aovtable,means]
A2RESULTSUMMARY [PSE=lsd,lsdsummary]