plot_meancompare.circGLM: Plot mean comparisons for a circGLM object

In keesmulder/CircGLMBayes: Bayesian Analysis of a Circular GLM

Plot mean comparisons for a circGLM object

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_meancompare.circGLM(m, alpha = 0.7, xlab = "Mean direction")

Arguments

m	A circGLM object.
alpha	The transparency (alpha) of the plotted densities.
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.

See Also

plot_trace.circGLM, plot_tracestack.circGLM, plot_predict.circGLM, plot_meanboxplot.circGLM, plot.circGLM.

Examples

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

keesmulder/CircGLMBayes documentation built on July 21, 2022, 3:43 a.m.