forest_SUCRA_plot: Forest-SUCRA plot of net-meta model for MD, HR, and RR

In meta2020/net.meta: The Functions for Network Meta Analysis

Description

To give the forest plot with SUCRA of bayesian results from model_gemtc

Usage

forest_SUCRA_plot(
  bmt,
  sucra,
  x.lab,
  x1,
  x2,
  digits,
  point.size = 4,
  point.shape = 23,
  title.size,
  table.text.size,
  sucra.text.size,
  labels = NULL,
  font.family = "Helvetica",
  plot.scale = 0.9
)

Arguments

bmt	bayesian net-meta result from model_gemtc
sucra	SUCRA values
x.lab	label in the x-axis
x1	the left xlim
x2	the right xlim
digits	digits of the results
point.size	point size
point.shape	point shape see: http://www.sthda.com/english/wiki/ggplot2-point-shapes
title.size	title font size
table.text.size	table text size
sucra.text.size	sucra text size
labels	label od the whole plot
font.family	"Helvetica" or "Times New Roman"
plot.scale	the scaled size of the whole plot

Value

ggplot object

Examples

LDT1 <- read.csv(system.file("extdata", "HR_SH_D.csv", package = "net.meta"))
trt1 <- read.table(system.file("extdata", "HR_SH_D.txt", package = "net.meta"),
    header=TRUE,quote = '"', stringsAsFactors=FALSE)

trt1$description <- factor(trt1$description, trt1$description)
LDT1$study <- factor(LDT1$study, unique(LDT1$study))

bmt1 <- model_gemtc(
long.data=LDT1,
id.treatments=trt1,
reference="A",
outcome="HR",
mtc.n.adapt = 500, mtc.n.iter = 1000, mtc.thin = 20)

sucra<-SUCRA(bmt1)

forest_SUCRA_plot(
bmt=bmt1,
sucra=sucra,
x.lab="X caption",
x1=0,
x2=40,
digits = 2,
title.size =12,
table.text.size=4,
sucra.text.size=4,
labels="Title",
font.family = "Helvetica",
plot.scale=0.9
)

meta2020/net.meta documentation built on March 30, 2021, 7:31 p.m.