Dear John,
thank you for prompt reply and your hints. The problem is that our
lmer model is much more complicated and has several interaction
terms:
Mass ~ Sex + I(YoE - 1996) + I(PAI/0.1 - 16) + I(gProt/10 - 6.2) +
I(Age/10 - 7.2) + I((Age/10 - 7.2)^2) + Diuretics +
Sex:I(PAI/0.1 - 16) + Sex:I(gProt/10 - 6.2) +
Sex:I(Age/10 - 7.2) + Sex:I((Age/10 - 7.2)^2) +
I(YoE - 1996):I(Age/10 - 7.2) + I(PAI/0.1 - 16):I(Age/10 - 7.2) +
I(gProt/10 - 6.2):I(Age/10 - 7.2) +
(I(Age/10 - 7.2) + I((Age/10 - 7.2)^2) | ID)
so that allEffects is quite efficient, and since I want to place
several interaction terms with Age in one figure with Age on the
horizontal axis the argument x.var = "Age" in plot would be very
helpful. :-)
Further hints using the above complex model: The following works well:
eff <- Effect(c("gProt", "Age"), m,
xlevels = list(gProt = 1:6 * 30, Age = 60:100))
plot(eff, lines=list(multiline=TRUE), x.var = "Age")
But this fails (note that Age is missing in xlevels):
eff <- Effect(c("gProt", "Age"), m, xlevels = list(gProt = 1:6 * 30))
plot(eff, lines=list(multiline=TRUE), x.var = "Age")
And that just led me to a solutution also for allEffects: Specifying
Age in xlevels for allEffects (although it seems unnecessary when
x.var = "Age" is used in plot) produces the correct graphical
output! :-)
Thank you very much for your support and the brilliant effects
package in general! :-)
Best regards -- Gerrit
---------------------------------------------------------------------
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany
Fax: +49-(0)641-99-32109 http://www.uni-giessen.de/eichner
---------------------------------------------------------------------
Am 09.11.2020 um 19:51 schrieb John Fox:
Dear Gerrit,
This looks like a bug in plot.eff(), which I haven't yet tracked down,
but the following should give you what you want:
eff <- Effect(c("gProt", "Age"), m, xlevels = list(gProt = 1:6 * 30,
Age=60:100))
plot(eff, lines=list(multiline=TRUE))
or
eff <- predictorEffect("Age", m, xlevels = list(gProt = 1:6 * 30))
plot(eff, lines=list(multiline=TRUE))
A couple of comments on your code, unrelated to the bug in plot.eff():
You don't need allEffects() because there's only one high-order fixed
effect in the model, I(gProt/10 - 6.2):I(Age/10 - 7.2) (i.e., the
interaction of gProt with Age).
x.var isn't intended as an argument for plot() with allEffects() because
there generally isn't a common horizontal axis for all of the high-order
effect plots.
Finally, thank you for the bug report. Barring unforeseen difficulties,
we'll fix the bug in due course.
I hope this helps,
John
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 2020-11-09 8:06 a.m., Gerrit Eichner wrote:
Dear list members,
I observe a strange/wrong graphical output when I set the xlevels
in (e. g.) allEffects for an lmer model and plot the effects with
multiline = TRUE. I have compiled a reprex for which you need the
lmer model and the environment in which the model was fitted. They
are contained in the zip file at
https://jlubox.uni-giessen.de/dl/fiSzTCc3bW8z2npZvPpqG1xr/m-and-G1.zip
After unpacking the following should work:
m <- readRDS("m.rds") # The lmer-model.
G1 <- readRDS("G1.rds") # Environment in which the model
# was fitted; needed by alaEffects.
summary(m) # Just to see the model.
library(effects)
aE <- allEffects(m, xlevels = list(gProt = 1:6 * 30))
# Non-default values for xlevels.
plot(aE) # Fine.
plot(aE, x.var = "Age") # Fine.
plot(aE, lines = list(multiline = TRUE)) # Fine.
plot(aE, lines = list(multiline = TRUE),
x.var = "Age") # Nonsense.
Anybody any idea about the reason, my mistake, or a
workaround? Thx for any hint!
Regards -- Gerrit
PS:
> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] effects_4.2-0 carData_3.0-4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-41 MASS_7.3-53 grid_4.0.2
DBI_1.1.0
[6] nlme_3.1-149 survey_4.0 estimability_1.3 minqa_1.2.4
nloptr_1.2.2.2
[11] Matrix_1.2-18 boot_1.3-25 splines_4.0.2 statmod_1.4.34
lme4_1.1-23
[16] tools_4.0.2 survival_3.2-3 yaml_2.2.1 compiler_4.0.2
colorspace_1.4-1
[21] mitools_2.4 insight_0.9.5 nnet_7.3-14
---------------------------------------------------------------------
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104 Arndtstr. 2, 35392 Giessen, Germany
http://www.uni-giessen.de/eichner
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