Description Usage Arguments Details See Also Examples
View source: R/circGLMClassPlotFunctions.R
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.
1 | plot_meancompare.circGLM(m, alpha = 0.7, xlab = "Mean direction")
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m |
A |
alpha |
The transparency (alpha) of the plotted densities. |
xlab |
The label of the x-axis. |
If there are linear predictors in the model as well, the posteriors displayed will correspond to the intercept parameter for each group.
plot_trace.circGLM
,
plot_tracestack.circGLM
,
plot_predict.circGLM
,
plot_meanboxplot.circGLM
,
plot.circGLM
.
1 2 3 | dat <- generateCircGLMData(nconpred = 0)
m <- circGLM(th ~ ., dat)
plot_meancompare.circGLM(m)
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