plot.study2way: Plot two-way analysis cost-effectiveness plane based on...

In henrivanwerkhoven/meta2way: Two-way Meta-Analysis for Cost-Outcome Evaluations

Description

This function plots the cost-efectiveness plane of a two-way analysis of a single study.

Usage

## S3 method for class 'study2way'
plot(x, y, xlab = "x", ylab = "y",
  xlim = range(x$x.bt), ylim = range(x$y.bt), col = 1, pch = 3,
  center.pch = 15, lwd = 1, lty = 1, points = TRUE,
  max.points = 2000, quadrant.proportions = FALSE, add = FALSE)

Arguments

x	Object of class study2way.
y	Should be omitted.
xlab	x axis label. Defaults to 'x'.
ylab	y axis label. Defaults to 'y'.
xlim	numeric vector length 2 with limits for the x axis. Defaults to range of x$x.bt.
ylim	numeric vector length 2 with limits for the y axis. Defaults to range of x$y.bt.
col	color for individual studies. Defaults to 1.
pch	integer point character for bootstrap points and confidence area. Defaults to 2.
lwd	integer line width for individual studies confidence area. Defaults to 1.
points	logical whether bootstrap points should be plotted. Defaults to TRUE.
max.points	integer the maximum number of bootstrap points to be plotted per study and meta-analysis. Bootstrap samples 1 to max.points will be plotted if available. Use NA or NULL to plot all points. Defaults to 2000.
quadrant.proportions	logical whether the proportions of bootstrap points in each quadrant should be printed in the plot corners. Defaults to FALSE.
add	logical whether to add the plot to existing plot. Defaults to FALSE.

Value

Returns NULL invisibly.

Examples

s1 <- study2way(treatments$Abrahams2018.x, treatments$Abrahams2018.y, 'Abrahams 2018')
plot(s1, xlab='Delta effects', ylab='Delta costs')

henrivanwerkhoven/meta2way documentation built on May 9, 2019, 5:03 a.m.