我正在尝试在R中制作森林图。
本站提供的样本:https://designdatadecisions.wordpress.com/2016/07/02/forest-plot-with-horizontal-bands/
从读取 R 中的数据开始。
设置格式以使列标签和列匹配
subgps <- c(4,5,8,9,12,13,16,17,20,21,24,25,28,29,32,33)
data$Variable[subgps] <- paste(" ",data$Variable[subgps])
np <- ifelse(!is.na(data$Count), paste(data$Count," (",data$Percent,")",sep=""), NA)
tabletext <- cbind(c("Subgroup","n",data$Variable),
c("No. of Patients (%)","n",np),
c("4-Yr Cum. Event Raten PCI","n",data$PCI.Group),
c("4-Yr Cum. Event Raten Medical Therapy","n",data$Medical.Therapy.Group),
c("P Value","n",data$P.Value))
到目前为止没有错误。
在我尝试执行第二步后,出现错误。第二步如下:
library(forestplot)
png(file.path(workdir,"Figures\Forestplot.png"),width=960, height=640)
forestplot(labeltext=tabletext, graph.pos=3,
mean=c(NA,NA,data$Point.Estimate),
lower=c(NA,NA,data$Low), upper=c(NA,NA,data$High),
title="Hazard Ratio",
xlab=" <---PCI Better--- ---Medical Therapy Better--->",
hrzl_lines=list("3" = gpar(lwd=1, col="#99999922"),
"7" = gpar(lwd=60, lineend="butt", columns=c(2:6), col="#99999922"),
"15" = gpar(lwd=60, lineend="butt", columns=c(2:6), col="#99999922"),
"23" = gpar(lwd=60, lineend="butt", columns=c(2:6), col="#99999922"),
"31" = gpar(lwd=60, lineend="butt", columns=c(2:6), col="#99999922")),
txt_gp=fpTxtGp(label=gpar(cex=1.25),
ticks=gpar(cex=1.1),
xlab=gpar(cex = 1.2),
title=gpar(cex = 1.2)),
col=fpColors(box="black", lines="black", zero = "gray50"),
zero=1, cex=0.9, lineheight = "auto", boxsize=0.5, colgap=unit(6,"mm"),
lwd.ci=2, ci.vertices=TRUE, ci.vertices.height = 0.4)
dev.off()
错误:
forestplot.default(labeltext = tabletext, graph.pos = 3, mean = c(NA, : 您在均值参数中提供了 2 行,而标签有 34 行
这甚至意味着什么?如何解决这个问题?
它的意思是它所说的。来自森林图的文档:
mean:带有平均值的向量或矩阵。您还可以提供自动转换为下/高参数的 2D/3D 矩阵。
您是否检查了data
以确保正确导入了它?如果您从博客上的链接下载了它,则它是一个.xlsx文件。
例如,当您尝试data$Point.Estimate
时,您会看到什么?
如果它是 NULL(我怀疑是(,请尝试使用 openxlsx
包下载它:
install.packages("openxlsx")
library(openxlsx)
data <- read.xlsx("ForestPlotData.csv")
# Presuming you downloaded the file correctly from the url, and its
# in your working directory, and titled "ForestPlotData.csv"