Season Individual FT FTLengthCurvIndex dir.lin
2009W GW522 1 20 0.538931977 1.8884631
2009W GW522 2 28 0.498651384 0.8379838
2010W A1841 17 0.492549537 1.23907
2010W A1842 23 0.630582873 1.30105
mwege gmail.com> writes:
>
> Hello all,
>
> In lme4 if you want to model two non-nested random effects you code it like
> this:
>
> mod1 <- lmer(y~x + (1|randomvar1) + (1|randomvar2))
>
> How would you go about to model something similar in nlme?
>
> In my database I have two variables for w
Hello all,
In lme4 if you want to model two non-nested random effects you code it like
this:
mod1 <- lmer(y~x + (1|randomvar1) + (1|randomvar2))
How would you go about to model something similar in nlme?
In my database I have two variables for which I have repeated measures, lets
call them "ind
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