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 Subject.
Sorry if my interpretation is incorrect.
Best,
Axel.
> On May 15, 2020, at 5:51 PM, Fox, John <j...@mcmaster.ca> wrote:
>
> 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 Message-----
>> From: Axel Urbiz <axel.ur...@gmail.com>
>> Sent: Friday, May 15, 2020 5:33 PM
>> To: Fox, John <j...@mcmaster.ca>; R-help@r-project.org
>> Subject: "effects" package with "lme4"
>>
>> 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) | Subject), sleepstudy)
>> coef(fm1)
>> plot(allEffects(fm1))
>>
>> ### End example
>>
>> Thanks,
>> Axel.
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