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))

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()

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"