Plot LS-means for Backward Reduced Model
Computes the LS-means for the final backward reduced model and passes these
to plot.ls_means.
## S3 method for class 'step_list'
plot(
x,
y = NULL,
which = NULL,
pairwise = FALSE,
mult = TRUE,
level = 0.95,
ddf = c("Satterthwaite", "Kenward-Roger"),
...
)x |
a |
y |
not used and ignored with a warning. |
which |
optional character vector naming factors for which LS-means should
be plotted. If |
pairwise |
pairwise differences of LS-means? |
mult |
if |
level |
confidence level. |
ddf |
denominator degree of freedom method. |
... |
currently not used. |
Error bars are confidence intervals - the default is 95 level can be changed.
Rune Haubo B. Christensen and Alexandra Kuznetsova
## Not run:
# Fit example model:
tv <- lmer(Sharpnessofmovement ~ TVset * Picture +
(1 | Assessor:TVset) + (1 | Assessor:Picture) +
(1 | Assessor:Picture:TVset) + (1 | Repeat) + (1 | Repeat:Picture) +
(1 | Repeat:TVset) + (1 | Repeat:TVset:Picture) + (1 | Assessor),
data = TVbo)
# Backward reduce the model:
(st <- step(tv)) # takes ~10 sec to run
# Pairwise comparisons of LS-means for Picture and TVset:
plot(st, which=c("Picture", "TVset"), pairwise = TRUE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.