Dear R list,
I am trying to fit a one way anova with just one factor and 3 levels. One of my
levels is significant
> av2<-aov(site~Tryptophan, data=datafit)
> summary(av2)
Df Sum Sq Mean Sq F value Pr(>F)
Tryptophan 1 155.3 155.32 5.875 0.025 *
Residuals 20 528.8 26.44
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
But when I try to compute the Tukey test I get this strage warning message and
no values but only NANs
> summary(aov(Tryptophan~as.factor(site), data=datafit))
Df Sum Sq Mean Sq
as.factor(site) 21 31394 1495
> test<-TukeyHSD(aov(Tryptophan~factor(site), data=datafit))
Warning message:
In qtukey(conf.level, length(means), x$df.residual) : NaNs produced
> test
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = Tryptophan ~ factor(site), data = datafit)
$`factor(site)`
diff lwr upr p adj
2-1 -103.70 NaN NaN NaN
3-1 -119.85 NaN NaN NaN
4-1 20.40 NaN NaN NaN
5-1 -70.24 NaN NaN NaN
6-1 7.16 NaN NaN NaN
7-1 22.57 NaN NaN NaN
8.1-1 11.10 NaN NaN NaN
8.2-1 -13.38 NaN NaN NaN
9-1 -5.55 NaN NaN NaN
10-1 -8.88 NaN NaN NaN
11-1 -4.21 NaN NaN NaN
12-1 19.92 NaN NaN NaN
13-1 10.89 NaN NaN NaN
14.1-1 8.85 NaN NaN NaN
14.2-1 -0.15 NaN NaN NaN
15-1 21.76 NaN NaN NaN
16-1 12.45 NaN NaN NaN
etc etc...
Could anyone help me or point me to the right direction?
Thank you very much in advance.
Kind Regards,
Valentina
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