Dear Friends,
(1) There may be a solution for those (e.g., experimental
psychologists) who are *not at all* interested in generalizing the
absolute level of the response variable (say, reaction time, rt) to
other subjects, but *only* to generalize the effect of the manipulated
variables wi
Sorry, I meant to say: "For the moment I wonder if the solution is not
to use CIs based on the two low SEs produced by the ~ time model, and
to treat them as least-significant difference intervals."
_
Professor Michael Kubovy
University of Virginia
Department of Ps
Thanks Doug,
You write: "If you want to examine the three means then you should fit
the model as lmer(rcl ~ time - 1 + (1 | subj), fr)"
I do just that (which is what Dieter just sent). But the CIs are much
too big compared to the CIs for differences between means (which
should be bigger tha
Douglas Bates stat.wisc.edu> writes:
> If you want to examine the three means then you should fit the model as
> lmer(rcl ~ time - 1 + (1 | subj), fr)
>
True, but for the notorious "error bars" in plots that reviewers always request
the 0.35 is probable more relevant than the 1.87. Which I thin
On 4/21/08, Michael Kubovy <[EMAIL PROTECTED]> wrote:
> To help Kedar a bit:
>
> Here is one way:
>
> recall <- c(10, 13, 13, 6, 8, 8, 11, 14, 14, 22, 23, 25, 16, 18, 20,
> 15, 17, 17, 1, 1, 4, 12, 15, 17, 9, 12, 12, 8, 9, 12)
> fr <- data.frame(rcl = recall, time = factor(rep(c(1, 2, 5), 10)),
To help Kedar a bit:
Here is one way:
recall <- c(10, 13, 13, 6, 8, 8, 11, 14, 14, 22, 23, 25, 16, 18, 20,
15, 17, 17, 1, 1, 4, 12, 15, 17, 9, 12, 12, 8, 9, 12)
fr <- data.frame(rcl = recall, time = factor(rep(c(1, 2, 5), 10)),
subj = factor(rep(1:10, each = 3)))
(fr.lmer <- lmer(rcl ~ time +
kedar nadkarni gmail.com> writes:
> I have been trying to obtain confidence intervals for the fit after having
> used lmer by using intervals(), but this does not work. intervals() is
> associated with lme but not with lmer(). What is the equivalent for
> intervals() in lmer()?
ci in Gregory
Hi all,
I have been trying to obtain confidence intervals for the fit after having
used lmer by using intervals(), but this does not work. intervals() is
associated with lme but not with lmer(). What is the equivalent for
intervals() in lmer()? I could not get this information from the
documentat
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