Hi,
I can not reproduce your problem.

Can you use ?dput, and try to create a self contained example?

Here is my attempt:

warpbreaks1 <- warpbreaks
warpbreaks1[1,1] <- NA
fm1 <- aov(breaks ~ tension, data = warpbreaks1)
summary(fm1)
TukeyHSD(fm1)


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On Fri, Apr 20, 2012 at 4:21 PM, danipaty13 <danipaty13@hotmail.com> wrote:

> I'm new using R im trying to do a tukey test, but when i see the results
> the
> p value results in NA im guessing its because i have missing values but im
> not sure how to fix it
>
> AnovaModel.2 <- aov(area ~ trat, data=apilados)
>
> > summary(AnovaModel.2)
>            Df Sum Sq Mean Sq F value    Pr(>F)
> trat         4  11847 2961.76  9.9905 1.500e-06 ***
> Residuals   76  22531 296.46
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> 14 observations deleted due to missingness
>
> > numSummary(apilados$area , groups=apilados$trat, statistics=c("mean",
> > "sd"))
>       mean                 sd          n NA
> X1 79.29625 15.06667 16  3
> X2 77.43400 10.64849 15  4
> X3 71.19895 15.85500 19  0
> X4 77.80938 24.67359 16  3
> X5 45.97200 16.65112 15  4
>
> > TukeyHSD(AnovaModel.2)
>  Tukey multiple comparisons of means
>    95% family-wise confidence level
>
> Fit: aov(formula = area ~ trat, data = apilados)
>
> $trat
>                         diff      lwr upr p adj
> X2-X1  -1.862250  NA  NA    NA
> X3-X1  -8.097303  NA  NA    NA
> X4-X1  -1.486875  NA  NA    NA
> X5-X1 -33.324250  NA  NA    NA
> X3-X2  -6.235053  NA  NA    NA
> X4-X2   0.375375  NA  NA    NA
> X5-X2 -31.462000  NA  NA    NA
> X4-X3   6.610428  NA  NA    NA
> X5-X3 -25.226947  NA  NA    NA
> X5-X4 -31.837375  NA  NA    NA
>
>
> --
> View this message in context:
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>
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