plot.step_list function

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"),
  ...
)

Arguments

• x: a step_list object; the result of running step.
• y: not used and ignored with a warning.
• which: optional character vector naming factors for which LS-means should be plotted. If NULL (default) plots for all LS-means are generated.
• pairwise: pairwise differences of LS-means?
• mult: if TRUE and there is more than one term for which to plot LS-means the plots are organized in panels with facet_wrap.
• level: confidence level.
• ddf: denominator degree of freedom method.
• ...: currently not used.

Details

Error bars are confidence intervals - the default is 95

level can be changed.

Examples

## 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)

See Also

ls_means and plot.ls_means

Author(s)

Rune Haubo B. Christensen and Alexandra Kuznetsova