R语言可视化开发forestplot根据分组设置不同颜色 R语言可视化开发forestplot根据分

分组设置颜色
给每行增加辅助线

分组设置颜色

library(forestplot)fn <- local({i = 0function(..., clr.line, clr.marker){i <<- i + 1if(i%%4==3){fpDrawNormalCI(..., clr.line = "#000000", clr.marker = "#00B9BF")} #4组中的第3组else if(i%%4==0){fpDrawNormalCI(..., clr.line = "#000000", clr.marker = "#C26EFF")} #4组中的第4组else if(i%%4==2 ){fpDrawNormalCI(..., clr.line = "#000000", clr.marker = "#6DA500")} #4组中的第2组else(fpDrawNormalCI(..., clr.line = "#000000", clr.marker = "#F9675C")) #4组中的第1组}})tabletext=cbind(c("Outcomes",figure_2_data$Treatmeant),c("CI (95%OR)",figure_2_data$`OR (95% CI)*`),c("P Value", figure_2_data$P))forestplot(labeltext=tabletext,graph.pos = 2,mean = c(NA,figure_2_data$OR),lower = c(NA,figure_2_data$Low),upper = c(NA,figure_2_data$High),boxsize = 0.5,txt_gp=fpTxtGp(label=gpar(cex=1.25),ticks=gpar(cex=1.1),xlab=gpar(cex = 1.2),title=gpar(cex = 1.2)),zero = 1,align = "l",is.summary = c(T,T,F,F,F,F,T,F,F,F,F,T,F,F,F,F,T,F,F,F,F),col = fpColors(box = c("darkblue","darkred")),fn.ci_norm = fn,colgap = unit(8,"mm"),graphwidth = unit(12,"cm"))

效果图

文章图片

给每行增加辅助线

line_list_Insuf1=list()for (i in 1:84) {exprs=paste0("line_list_Insuf1$`",i,"`=gpar(lwd=1, columns=1:5, col = '#99999922')")eval(parse(text=exprs))}line_list_Insuf1$`1`=gpar(lwd=2, columns=1:7, col = '#202020')line_list_Insuf1$`2`=gpar(lwd=2, columns=1:7, col = '#202020')# parse 将character转换为expression# eval 执行 expression# forestplot 函数里面再加上这句参数hrzl_lines = line_list_Insuf1