plot_loadings {bayesdfa} | R Documentation |
Plot the loadings from a DFA
plot_loadings( rotated_modelfit, names = NULL, facet = TRUE, violin = TRUE, conf_level = 0.95, threshold = NULL )
rotated_modelfit |
Output from |
names |
An optional vector of names for plotting the loadings. |
facet |
Logical. Should there be a separate facet for each trend?
Defaults to |
violin |
Logical. Should the full posterior densities be shown as a
violin plot? Defaults to |
conf_level |
Confidence level for credible intervals. Defaults to 0.95. |
threshold |
Numeric (0-1). Optional for plots, if included, only plot
loadings who have Pr(<0) or Pr(>0) > threshold. For example |
plot_trends fit_dfa rotate_trends
set.seed(42) s <- sim_dfa(num_trends = 2, num_ts = 4, num_years = 10) # only 1 chain and 180 iterations used so example runs quickly: m <- fit_dfa(y = s$y_sim, num_trends = 2, iter = 50, chains = 1) r <- rotate_trends(m) plot_loadings(r, violin = FALSE, facet = TRUE) plot_loadings(r, violin = FALSE, facet = FALSE) plot_loadings(r, violin = TRUE, facet = FALSE) plot_loadings(r, violin = TRUE, facet = TRUE)