Closed krisanathema closed 6 years ago
The mixed
objects contains the merModLmerTest
object in the full_model
slot. This can be used with the functions you are interested in. For example:
library("afex")
data("Machines", package = "MEMSS")
# simple model with random-slopes for repeated-measures factor
m1 <- mixed(score ~ Machine + (Machine|Worker), data=Machines)
str(m1, 1)
# List of 5
# $ anova_table :Classes ‘anova’ and 'data.frame': 1 obs. of 4 variables:
# ..- attr(*, "heading")= chr [1:3] "Mixed Model Anova Table (Type 3 tests, KR-method)\n" "Model: score ~ Machine + (Machine | Worker)" "Data: Machines"
# ..- attr(*, "sig_symbols")= chr [1:4] " +" " *" " **" " ***"
# $ full_model :Formal class 'merModLmerTest' [package "lmerTest"] with 13 slots
# $ restricted_models: NULL
# $ tests : NULL
# $ data :'data.frame': 54 obs. of 3 variables:
# - attr(*, "class")= chr "mixed"
# - attr(*, "type")= num 3
# - attr(*, "method")= chr "KR"
fixef(m1$full_model)
# (Intercept) Machine1 Machine2
# 59.6500000 -7.2944444 0.6722222
getME(m1$full_model, name = "X")
# (Intercept) Machine1 Machine2
# 1 1 1 0
# 2 1 1 0
# [...]
# 54 1 -1 -1
# attr(,"assign")
# [1] 0 1 1
# attr(,"contrasts")
# attr(,"contrasts")$Machine
# [1] "contr.sum"
#
# attr(,"msgScaleX")
# character(0)
Let me know if this does not work for you.
Thanks a lot Henrik!
It works perfectly for me. I did not realize that merModLmerTest
objects were already included in mixed
objects.
In order to compute R2 for generalized linear mixed-effects models, I use to follow the procedure described in Nakagawa & Schielzeth (2013). This procedure requires to access the fixef() and getME() functions, which do not work with "mixed" objects, as shows the following error message: Error in UseMethod("fixef") : no applicable method for 'fixef' applied to an object of class "mixed"
Is there any possibility to coerce a "mixed" object into a "merModLmerTest" object, or an equivalent object supported by fixef()?
Nakagawa & Schielzeth_2013_MEE_General and simple method for obtaining R2 from GLMMs.pdf