使用风险比和置信区间的森林图

Forest plot using risk ratio and confidence intervals

如何使用带有比较标签的风险比和置信区间来制作这样的森林图? 我不希望 R 自动对比较进行分组,我只想绘制带有左侧标签的森林图。谢谢。

我使用这个代码:

d=result
df=data.frame(d)

cochrane_from_rmeta <- 
  structure(list(
    mean  = df$RiskRatio, 
    lower = df$LowerLimit,
    upper = df$UpperLimit),
    .Names = c("RiskRatio", "lower", "upper"), 
    row.names = c(NA, -14L), 
    class = "data.frame")

tabletext<-cbind(
  c(df$Outcomes),
  c(df$Comparison),
  c(df$...4),
  c(df$RiskRatio))

forestplot(tabletext, 
           cochrane_from_rmeta,new_page = TRUE,
           is.summary=c(TRUE,TRUE,rep(FALSE,8),TRUE),
           clip=c(0.1,2.5), 
           xlog=TRUE, 
           col=fpColors(box="royalblue",line="darkblue", summary="royalblue"))

但是显示错误

这是您要实现的目标吗?

#install.packages("forestplot")
library(forestplot)
# Cochrane data from the 'rmeta'-package
cochrane_from_rmeta <- 
  structure(list(
    mean  = c(NA, NA, 0.578, 0.165, 0.246, 0.700, 0.348, 0.139, 1.017, NA, 0.531), 
    lower = c(NA, NA, 0.372, 0.018, 0.072, 0.333, 0.083, 0.016, 0.365, NA, 0.386),
    upper = c(NA, NA, 0.898, 1.517, 0.833, 1.474, 1.455, 1.209, 2.831, NA, 0.731)),
    .Names = c("mean", "lower", "upper"), 
    row.names = c(NA, -11L), 
    class = "data.frame")

tabletext<-cbind(
  c("", "Study", "Auckland", "Block", 
    "Doran", "Gamsu", "Morrison", "Papageorgiou", 
    "Tauesch", NA, "Summary"),
  c("",
    "Comparison",
    "Placebo 1",
    "Placebo 2",
    "Placebo 3",
    "Placebo 4",
    "Placebo 5",
    "Treatment 1",
    "Treatment 2",
    NA,
    ""),
  c("",
    "Relative Risk \n 95% CI",
    "0.88 (0.84-0.92)",
    "0.87 (0.81-0.94)",
    "0.88 (0.84-0.92)",
    "0.87 (0.81-0.94)",
    "0.88 (0.84-0.92)",
    "0.88 (0.84-0.92)",
    "0.87 (0.81-0.94)",
    NA,
    "0.87 (0.81-0.94)"),
  c("", "OR", "0.58", "0.16", 
    "0.25", "0.70", "0.35", "0.14", 
    "1.02", NA, "0.53"),
  c("", "F", "1.1", "1.3", 
    "0.2", "5", "3.1", "0", 
    "0.1", NA, "4.1"))

forestplot(tabletext, 
           cochrane_from_rmeta,
           graph.pos = 3, 
           new_page = TRUE,
           is.summary=c(rep(FALSE,11)),
           clip=c(0.1,2.5), 
           xlog=TRUE,
           col=fpColors(box="royalblue",
                        line="darkblue",
                        summary="royalblue"))