tipmap (version 0.5.2)

tipmap_plot: Visualize tipping point analysis

Description

Uses a data frame created by create_tipmap_data() to visualize the tipping point analysis.

Usage

tipmap_plot(
  tipmap_data,
  target_pop_lab = "Trial in target\n population",
  y_range = NULL,
  y_breaks = NULL,
  title = NULL,
  y_lab = "Mean difference",
  x_lab = "Weight on informative component of MAP prior",
  map_prior_lab = "MAP\nprior",
  meta_analysis_lab = "MA",
  legend_title = "Posterior quantile",
  null_effect = 0
)

Value

A ggplot object of the tipping point plot

Arguments

tipmap_data

A data frame containing tipping point data, generated by create_tipmap_data().

target_pop_lab

A label for the trial in the target population.

y_range

An optional argument specifying range of the y-axis.

y_breaks

An optional vector specifying breaks on the y-axis.

title

The plot title.

y_lab

The label for the y axis. Defaults to "Mean difference".

x_lab

The label for the x axis. Defaults to "Weight on informative component of MAP prior".

map_prior_lab

The label for the MAP prior. Defaults to "MAP prior"

meta_analysis_lab

An optional label for a meta-analysis (if included).

legend_title

An optional title for the plot legend. Defaults to "Posterior quantiles".

null_effect

The null treatment effect, determining where tipping points are calculated. Defaults to 0.

See Also

create_tipmap_data

Examples

tipmap_data <- load_tipmap_data("tipdat.rds")
tipmap_plot(tipmap_data)