r of Observations: 630
Number of Groups: 105
> class(mlr2)
[1] "summary.lme" "lme"
> cor(fitted(mlr2), getResponse(mlr2))^2
Error in val[, level] : incorrect number of dimensions
Dr Ullrich Ecker | Postdoctoral Research Fellow |
Cognitive Science Laboratories
## for lme()
>require(multcomp) ## for multiple comparison stuff
>
>Aov.mod <- aov(Y ~ N + V + Error(B/V), data = oats)
>Lme.mod <- lme(Y ~ N + V, random = ~1 | B/V, data = oats)
>
>summary(Aov.mod)
>anova(Lme.mod)
>
>summary(Lme.mod)
>summary(glht(Lme.mod, linf
r an aov object.
And I don't know if confidence intervals are "certainly much better
than p-values". What I do know is that most journals of psychology
(and medicine, neuroscience, ...for that matter) usually require
p-values be reported.
Still hope someone can help...
Ull
v, focus = "Cond", focus.lmat = Cond.lmat)
yielding
Error in mvt(lower = carg$lower, upper = carg$upper, df = df, corr =
carg$corr, :
NA/NaN/Inf in foreign function call (arg 6)
In addition: Warning message:
In cov2cor(covm) : diagonal has non-finite entries
> Tukey
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