[R] [R-sig-ME] multcomp package

[Evan Palmer-Young]

Hanna,
If you are interested in whether effect of time varies across individuals,
why don't you fit a model with the predictors (time*individual) as fixed
effects rather than random?

On Mon, Jun 6, 2016 at 10:57 AM, li li <hannah.hlx at gmail.com> wrote:

> Hi all,
>   After fitting a random slope and random intercept model using lme
> function, I want
> to test whether each of the fixed slopes is equal to zero (The output of
> model is below).
> Can this be done (testing each individual slope) using multcomp package?
>   Thanks much for the help.
>    Hanna
>
> > summary(mod1)Linear mixed-effects model fit by REML
>  Data: one
>        AIC      BIC    logLik
>   304.4703 330.1879 -140.2352
>
> Random effects:
>  Formula: ~1 + time | individual
>  Structure: General positive-definite, Log-Cholesky parametrization
>             StdDev       Corr
> (Intercept) 0.2487869075 (Intr)
> time        0.0001841179 -0.056
> Residual    0.3718305953
>
> Variance function:
>  Structure: Different standard deviations per stratum
>  Formula: ~1 | method
>  Parameter estimates:
>        3        1        2
>  1.00000 26.59750 24.74476
> Fixed effects: reponse ~ method * time
>                 Value Std.Error DF   t-value p-value(Intercept)
> 96.65395  3.528586 57 27.391694  0.0000
> method2       1.17851  4.856026 57  0.242689  0.8091
> method3       5.87505  3.528617 57  1.664973  0.1014time
> 0.07010  0.250983 57  0.279301  0.7810
> method2:time -0.12616  0.360585 57 -0.349877  0.7277
> method3:time -0.08010  0.251105 57 -0.318999  0.7509
>  Correlation:
>              (Intr) methd2 methd3 time   mthd2:
> method2      -0.726
> method3      -0.999  0.726
> time         -0.779  0.566  0.779
> method2:time  0.542 -0.712 -0.542 -0.696
> method3:time  0.778 -0.566 -0.779 -0.999  0.696
>
> Standardized Within-Group Residuals:
>         Min          Q1         Med          Q3         Max
> -2.67575293 -0.51633192  0.06742723  0.59706762  2.81061874
>
> Number of Observations: 69
> Number of Groups: 7 >
>
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>
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