plot.dsa: Plot Sensitivity Analysis

In heemod: Markov Models for Health Economic Evaluations

Plot Sensitivity Analysis

Description

Plot the results of a sensitivity analysis as a tornado plot.

Usage

## S3 method for class 'dsa'
plot(
  x,
  type = c("simple", "difference"),
  result = c("cost", "effect", "icer"),
  strategy = NULL,
  widest_on_top = TRUE,
  limits_by_bars = TRUE,
  resolve_labels = FALSE,
  shorten_labels = FALSE,
  remove_ns = FALSE,
  bw = FALSE,
  ...
)

Arguments

x	A result of run_dsa().
type	Type of plot (see details).
result	Plot cost, effect, or ICER.
strategy	Name or index of strategies to plot.
widest_on_top	logical. Should bars be sorted so widest are on top?
limits_by_bars	logical. Should the limits used for each parameter be printed in the plot, next to the bars?
resolve_labels	logical. Should we resolve all labels to numbers instead of expressions (if there are any)?
shorten_labels	logical. Should we shorten the presentation of the parameters on the plot to highlight where the values differ?
remove_ns	Remove variables that are not sensitive.
bw	Black & white plot for publications?
...	Additional arguments passed to plot.

Details

Plot type simple plots variations of single strategy values, while difference plots incremental values.

Value

A ggplot2 object.

heemod documentation built on July 26, 2023, 5:45 p.m.