## S3 method for class 'ls_means'plot(x, y =NULL, which =NULL, mult =TRUE,...)
Arguments
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.
Returns
generates the desired plots and invisibly returns the plot objects.
Examples
# 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-meansplot(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")