TripleR (version 1.5.4)

plot.RRuni: Plot variance components from SRAs

Description

This function plots variance components for all RR objects.

Usage

# S3 method for RRuni
plot(x, …, measure=NA, geom="bar")
# S3 method for RRmulti
plot(x, …, measure=NA, geom="scatter", conf.level=0.95, connect=FALSE)

Arguments

x

A RR results object

…

Further arguments passed to the plot function

measure

Sets the labels to `behavior' or `perception'; if no parameter is provided the function uses the defaults from RR.style

geom

Style of plot: set `bar' or `pie' for single groups; `scatter' or `bar' for multiple groups

conf.level

Confidence level for error bars in the scatter style

connect

Should dots for variance components of each group be connected? (Looks usually very cluttered ...)

Value

A ggplot2 object is returned - that means, you can subsequently adjust the scale labels, etc.

Examples

# NOT RUN {
	data(likingLong)
	RR1 <- RR(liking_a ~ perceiver.id*target.id, data=likingLong)
	plot(RR1)
	plot(RR1, geom="pie")
	
	RR2 <- RR(liking_a + metaliking_a ~ perceiver.id*target.id, data=likingLong)
	plot(RR2)
	
	
	data("multiLikingLong")
	RR1m <- RR(liking_a ~ perceiver.id*target.id|group.id, data=multiLikingLong)
	plot(RR1m)
	plot(RR1m, measure="perception")
	plot(RR1m, measure="perception", geom="bar")
	plot(RR1m, measure="perception", connect=TRUE)

	RR2m <- RR(liking_a + metaliking_a ~ perceiver.id*target.id|group.id, data=multiLikingLong)
	plot(RR2m)
# }