plot.ls_means: Bar Plots of LS-Means
In lmerTest: Tests in Linear Mixed Effects Models

Description Usage Arguments Value Author(s) See Also Examples

Bar plots of LS-means using the ggplot2 package.

1 2	## S3 method for class 'ls_means' plot(x, y = NULL, which = NULL, mult = TRUE, ...)

`x`	an `ls_means` object.
`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.
`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`.
`...`	currently not used.

generates the desired plots and invisibly returns the plot objects.

Rune Haubo B. Christensen

ls_means.lmerModLmerTest

# Fit example model with 2 factors:
data("cake", package="lme4")
cake$Temp <- factor(cake$temperature, ordered = FALSE)
model <- lmer(angle ~ recipe * Temp + (1|recipe:replicate), cake)

# Extract LS-means:
(lsm <- ls_means(model))

# Multi-frame plot of the LS-means
plot(lsm)

# Compute list of 'single frame' plots:
res <- plot(lsm, mult=FALSE)

# Display each plot separately:
plot(res[[1]])
plot(res[[2]])

# Example with pairwise differences of LS-means:
(lsm <- ls_means(model, pairwise = TRUE))
plot(lsm, which="Temp")