Dear Axel,
> On May 15, 2020, at 7:39 PM, Axel Urbiz wrote:
>
> Dear John,
>
> Thank you for your response.
>
> My apologies as I’m only recently getting exposed to mixed-model. My
> understanding, is that the model specified below also has random intercepts
> and slope, as they vary by
Dear John,
Thank you for your response.
My apologies as I’m only recently getting exposed to mixed-model. My
understanding, is that the model specified below also has random intercepts and
slope, as they vary by Subject. `coef(fm1)` shows this. I was looking to plot
the fitted splines by
Dear Axel,
There only one fixed effect in the model, ns(Days, 3), so I don't know what you
expected.
Best,
John
--
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web: socialsciences.mcmaster.ca/jfox/
> -Original
Hello John and others,
I’d appreciate your help as I’m trying to plot the effect of predictor “Days”
on Reaction by Subject. I’m only getting one plot in the example below.
### Start example
library(lme4)
library(splines)
data("sleepstudy")
fm1 <- lmer(Reaction ~ ns(Days, 3) + (ns(Days, 3) |
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