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 answ
Hi:
On Mon, Aug 8, 2011 at 10:07 AM, bjmjarrett 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
I don't know lme models very well, but if you have standard errors for your
values, this shouldn't be too hard (as a last resort) using polygon()
For example
x = 1:10
y = x^2
y.Err = 2*x
y.Up = y + y.Err; y.Dn =y-y.Err
# This graph is actually quite ugly so don't copy the formatting
plot(x,y
Hi all,
I’m trying to plot confidence intervals for the fitted values I get with my
lme model in R.
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.
Any
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