Hi,

Sorry about that. Sure, here is some further information:


> summary(InekeReduc)
     segorg         intorg     l2group     mani          score
 Belfast:3782   Belfast:3782   1: 2604   1   :2480   Min.   :  1.000
 L2     :7502   L2     :7440   2:12462   2   :2542   1st Qu.:  1.000
 German :3782   German :3844             3   :2480   Median :  2.000
                                         4   :2480   Mean   :  3.011
                                         5   :2480   3rd Qu.:  5.000
                                         NA's:2604   Max.   :  6.000
                                                     NA's   :200.000
> summary( fit <- aov( score ~ segorg * intorg ,data=InekeReduc) )
                 Df Sum Sq Mean Sq  F value    Pr(>F)
segorg            2  15025    7512 2219.063 < 2.2e-16 ***
intorg            2   1019     509  150.441 < 2.2e-16 ***
segorg:intorg     4    164      41   12.086 8.299e-10 ***
Residuals     14857  50297       3
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
200 observations deleted due to missingness
> TukeyHSD(fit,"segorg:intorg")
  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = score ~ segorg * intorg, data = InekeReduc)

$`segorg:intorg`
                                      diff         lwr        upr     p adj
L2:Belfast-Belfast:Belfast      1.59590485  1.33909758  1.8527121 0.0000000
German:Belfast-Belfast:Belfast  3.04430961  2.71827718  3.3703420 0.0000000
Belfast:L2-Belfast:Belfast      0.24375305 -0.01369296  0.5011991 0.0801617
L2:L2-Belfast:Belfast           1.55958957  1.30211188  1.8170673 0.0000000
German:L2-Belfast:Belfast       2.96873225  2.71126512  3.2261994 0.0000000
Belfast:German-Belfast:Belfast  0.44195992  0.12355001  0.7603698 0.0005667
L2:German-Belfast:Belfast       2.36192845  2.10440839  2.6194485 0.0000000
German:German-Belfast:Belfast   3.42962398  3.11110098  3.7481470 0.0000000
German:Belfast-L2:Belfast       1.44840476  1.19092315  1.7058864 0.0000000
Belfast:L2-L2:Belfast          -1.35215180 -1.51425695 -1.1900466 0.0000000
L2:L2-L2:Belfast               -0.03631527 -0.19847075  0.1258402 0.9988643
German:L2-L2:Belfast            1.37282740  1.21068871  1.5349661 0.0000000
Belfast:German-L2:Belfast      -1.15394493 -1.40170389 -0.9061860 0.0000000
L2:German-L2:Belfast            0.76602360  0.60380087  0.9282463 0.0000000
German:German-L2:Belfast        1.83371914  1.58581484  2.0816234 0.0000000
Belfast:L2-German:Belfast      -2.80055656 -3.05867524 -2.5424379 0.0000000
L2:L2-German:Belfast           -1.48472003 -1.74287033 -1.2265697 0.0000000
German:L2-German:Belfast       -0.07557736 -0.33371711  0.1825624 0.9925827
Belfast:German-German:Belfast  -2.60234969 -2.92130373 -2.2833957 0.0000000
L2:German-German:Belfast       -0.68238116 -0.94057371 -0.4241886 0.0000000
German:German-German:Belfast    0.38531438  0.06624743  0.7043813 0.0056382
L2:L2-Belfast:L2                1.31583652  1.15267135  1.4790017 0.0000000
German:L2-Belfast:L2            2.72497920  2.56183071  2.8881277 0.0000000
Belfast:German-Belfast:L2       0.19820687 -0.05021410  0.4466278 0.2441352
L2:German-Belfast:L2            2.11817540  1.95494338  2.2814074 0.0000000
German:German-Belfast:L2        3.18587093  2.93730501  3.4344369 0.0000000
German:L2-L2:L2                 1.40914267  1.24594419  1.5723412 0.0000000
Belfast:German-L2:L2           -1.11762966 -1.36608347 -0.8691758 0.0000000
L2:German-L2:L2                 0.80233887  0.63905689  0.9656209 0.0000000
German:German-L2:L2             1.87003441  1.62143567  2.1186331 0.0000000
Belfast:German-German:L2       -2.52677233 -2.77521518 -2.2783295 0.0000000
L2:German-German:L2            -0.60680380 -0.77006911 -0.4435385 0.0000000
German:German-German:L2         0.46089174  0.21230395  0.7094795 0.0000003
L2:German-Belfast:German        1.91996853  1.67147082  2.1684662 0.0000000
German:German-Belfast:German    2.98766407  2.67639017  3.2989380 0.0000000
German:German-L2:German         1.06769554  0.81905292  1.3163382 0.0000000

/Fredrik

On Wed, Nov 5, 2008 at 1:15 PM, hadley wickham <h.wickham@gmail.com> wrote:
> On Wed, Nov 5, 2008 at 5:42 AM, Fredrik Karlsson <dargosch@gmail.com>
wrote:
>> Dear list,
>>
>> Sorry to ask you this, but I just ran a TukeyHSD on an model with a
>> two thee level factors as independent variables and a numeric score
>> dependent variable.
>> The aov gives a significant interaction effect, and using the
>> TukeyHSD, I get almost every row to be exactly 0.0000000. Should I be
>> worried??
>
> You should be worried that you did not provide any information to
> reproduce your problem.  How can you expect anyone else to give you
> advice?
>
> Hadley
>
>
> --
> http://had.co.nz/
>



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