View source: R/circGLMClassPlotFunctions.R
plot_tracestack.circGLM | R Documentation |
An alternative option to plot traceplots from circGLM
objects.
plot_tracestack.circGLM( m, coef = "Beta", labelFormat = "default", ggTheme = ggplot2::theme_bw(), res = 10000, burnThinLabel = TRUE )
m |
A |
coef |
A character string, either "Beta" or "Zeta", determining whether the continuous regression predictors are shown in reparametrized form or not. |
labelFormat |
A character vector, either |
ggTheme |
A ggplot theme object to use. The relevant theme function should be evaluated. |
res |
The maximum number iterations to print. If |
burnThinLabel |
Logical; if TRUE, the x-label will reflect the fact that a burn-in and a thinning factor were used. If FALSE, the x-labels will run from 1 to Q. |
A ggplot2 plot.
plot_trace.circGLM
,
plot_predict.circGLM
, plot_meancompare.circGLM
,
plot_meanboxplot.circGLM
, plot.circGLM
.
plot(circGLM(th = rvmc(100, 0, 1)), type = "tracestack") dat <- generateCircGLMData() plot(circGLM(th ~ ., dat), type = "tracestack")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.