plot_bayesian_cdi: Bayesian version of the CDI plot

In quantifish/influ2: Influence plots

Bayesian version of the CDI plot

Description

The CDI plot presents the coefficients for the variable of interest (top-left panel), the spread of the data (bottom-left panel), and the influence statistic (bottom-right panel).

Usage

plot_bayesian_cdi(
  fit,
  xfocus = "area",
  yfocus = "fishing_year",
  xlab = NULL,
  ylab = NULL,
  hurdle = FALSE,
  sort_coefs = FALSE,
  axis.text.x.bl = TRUE,
  colour = "purple",
  p_margin = 0.05,
  legend = TRUE,
  sum_by = "row",
  ...
)

Arguments

fit	An object of class brmsfit.
xfocus	The column name of the variable to be plotted on the x axis. This column name must match one of the column names in the data.frame that was passed to brm as the data argument.
yfocus	The column name of the variable to be plotted on the y axis. This column name must match one of the column names in the data.frame that was passed to brm as the data argument. This is generally the temporal variable in a generalised linear model (e.g. year).
xlab	The x axis label.
ylab	The y axis label.
hurdle	If a hurdle model then use the hurdle.
sort_coefs	Should the coefficients be sorted from highest to lowest.
axis.text.x.bl	Include the x axis labels on the bottom-left (bl) bubble plot panel.
colour	The colour to use in the plot.
p_margin	The margin between panels on the plot. This is passed to margin within theme.
legend	To show the legend or not.
sum_by	Sum to 1 by row, sum to 1 by column, sum to 1 across all data, or raw. The size of the bubbles will be the same for all and raw, but the legend will change from numbers of records to a proportion.
...	Further arguments passed to nothing.

Value

a ggplot object.

See Also

get_coefs, get_influ, plot_bubble

quantifish/influ2 documentation built on Dec. 14, 2024, 5:10 a.m.