R语言可视化开发forestplot根据分组设置不同颜色

这篇文章主要为大家介绍了R语言可视化开发使用forestplot根据分组设置不同颜色的实现示例，有需要的朋友可以借鉴参考下，希望能够有所帮助，祝大家多多进步，早日升职加薪

分组设置颜色

library(forestplot) fn <- local({ i = 0 function(..., clr.line, clr.marker){ i <<- i + 1 if(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

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