I'm using R 1.6.1 under Redhat Linux 8.0. I'm following the example from V&R (1994) pp. 177-181. I get the split-plot ANOVA table:

> summary(oats.aov)

Error: B
         Df  Sum Sq Mean Sq F value Pr(>F)
Residuals  5 15875.3  3175.1

Error: B:V
         Df Sum Sq Mean Sq F value Pr(>F)
V          2 1786.4   893.2  1.4853 0.2724
Residuals 10 6013.3   601.3

Error: Within
         Df  Sum Sq Mean Sq F value    Pr(>F)
Nf         3 20020.5  6673.5 37.6856 2.458e-12 ***
Nf:V       6   321.7    53.6  0.3028    0.9322
Residuals 45  7968.7   177.1
---
Signif. codes:  0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1


I need to get hold of the residuals and fitted values. The usual way of using "resid" and "fitted" doesn't work I guess because this is a multistratum model. The "studres" function shows up if I load the MASS library. But I cannot get the "proj" and "update" functions to work as they do in S-Plus:


> oats.fm <- update(oats.aov,qr=TRUE)
Error in update.default(oats.aov, qr = TRUE) :
       need an object with call component

How can I get the residuals and fitted values? Wouldn't there be three sets of residuals? One for the blocks (6 residuals), one for the varieties (18 resduals), and another for the subplots (72 residuals)? If we only looked at the varieties and blocks, this would be a randomized block design using the average for each plot as the observations. There would be 18 residuals. The F-statistic and p-value match the split-plot ANOVA results for variety.

Thanks.

Rick B.

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