这里分为两部分，第一，肩并肩绘制图型，第二，对于有显著差异的相邻的数据标记星号。
> a<-matrix(nrow=100,ncol=3,data=runif(300,max=2)) > b<-matrix(nrow=100,ncol=3,data=runif(300,max=1)) > colnames(a)<-c("case 1","case 2","case 3") > colnames(b)<-c("case 1","case 2","case 3") > n <- 3 > xpos <- 0:(n-1)*3+1.5 > ypos.a <- apply(a, 2, max) > ypos.b <- apply(b, 2, max) > pvalue <- c(0.5, 0.05, 0.001) > mark <- symnum(pvalue, cutpoints=c(0, 0.05, 1), symbols=c("*", NA)) > dist <- max(range(a,b))/20 > ylim <- range(a, b) > ylim[2] <- ylim[2]+dist > boxplot(a, at=0:(n-1)*3 + 1, xlim=c(0,n*3), ylim=ylim, xaxt="n", col="yellow") > boxplot(b, at=0:(n-1)*3+2, xaxt="n", add=TRUE, col="red") > axis(1, at = 0:(n-1)*3 + 1.5, labels = colnames(a), tick = TRUE) > for(i in 1:length(mark)){ + if(!is.na(mark[i])){ + segments(xpos[i]-.5, ypos.a[i]+dist/2, xpos[i]-.5, max(ypos.a[i], ypos.b[i])+dist) + segments(xpos[i]+.5, ypos.b[i]+dist/2, xpos[i]+.5, max(ypos.a[i], ypos.b[i])+dist) + segments(xpos[i]-.5, max(ypos.a[i], ypos.b[i])+dist, xpos[i]-0.1, max(ypos.a[i], ypos.b[i])+dist) + segments(xpos[i]+.5, max(ypos.a[i], ypos.b[i])+dist, xpos[i]+0.1, max(ypos.a[i], ypos.b[i])+dist) + text(x=xpos[i], y=max(ypos.a[i], ypos.b[i])+dist, label=mark[i], col="red") + } + } |
