[R] confidence interval as shaded band (lme)

[Bert Gunter]

Would someone tell me how they propose to go from "standard errors" to
confidence intervals*. I suspect Doug Bates would probably like to
know, also, as he has expended a lot of effort on this over the years,
I believe.  :-)

-- Bert

* Note   +/- 2 std errors is almost certainly not the right answer --
how far wrong it is ... that's the question.


Cheers,
Bert

On Mon, Aug 8, 2011 at 1:07 PM, Dennis Murphy <djmuser at gmail.com> wrote:
> Hi:
>
> On Mon, Aug 8, 2011 at 10:07 AM, bjmjarrett <bjmjarrett at gmail.com> wrote:
>> Hi all,
>>
>> I’m trying to plot confidence intervals for the fitted values I get with my
>> lme model in R.
>
> Which fitted values? The ones conditional on the random effects or the
> ones averaged over the random effects? The standard errors of the two
> sets of predictions are not the same.
>>
>> Is there any way I can plot this in the form of a shaded band, like the
>> output of geom_smooth() in ggplot2 package. ggplot2 seems to use only lm,
>> glm, gam, loess and rlm as smoothing methods.
>
> You can fake it with geom_ribbon(), but it would be convenient to have
> the endpoints of the CIs in a data frame you could input into ggplot2.
>
> HTH,
> Dennis
>>
>> Any advice on the functions I should use to accomplish this will be very
>> helpful.
>>
>> Thank you very much.
>>
>> Ben
>>
>> --
>> View this message in context: http://r.789695.n4.nabble.com/confidence-interval-as-shaded-band-lme-tp3727645p3727645.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
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>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
"Men by nature long to get on to the ultimate truths, and will often
be impatient with elementary studies or fight shy of them. If it were
possible to reach the ultimate truths without the elementary studies
usually prefixed to them, these would not be preparatory studies but
superfluous diversions."

-- Maimonides (1135-1204)

Bert Gunter
Genentech Nonclinical Biostatistics