plot_meanboxplot.circGLM: Plot mean comparison boxplot from circGLM objects

In circglmbayes: Bayesian Analysis of a Circular GLM

Description

If the main predictors of interest for the circGLM are categorical, it can be insightful to plot the posteriors of the group means side-by-side, which this function does. This is particularly useful for ANOVA or ANCOVA type designs.

Usage

plot_meanboxplot.circGLM(m, xlab = "Mean direction")

Arguments

m	A circGLM object.
xlab	The label of the x-axis.

Details

If there are linear predictors in the model as well, the posteriors displayed will correspond to the intercept parameter for each group.

Some caution is needed, as a regular linear boxplot is printed, which may not always be meaningful for a circular variable.

See Also

plot_trace.circGLM, plot_tracestack.circGLM, plot_predict.circGLM, plot_meancompare.circGLM, plot.circGLM.

Examples

dat <- generateCircGLMData(nconpred = 0)
m   <- circGLM(th ~ ., dat)
plot_meancompare.circGLM(m)

circglmbayes documentation built on Jan. 22, 2021, 5:09 p.m.