【R】表达矩阵指定绘制两样本的相关性散点图？

表达矩阵

要做两两样本的相关性散点图，并计算标明相关系数。

编写函数要点：

• 直接在aes中传参是不行的
• 线性回归表达式

函数

方法1：用!!ensym

myplot <- function(indata, inx, iny){
  nms <- names(indata)
  x <- nms[inx]
  y <- nms[iny]
  regression <- paste0(x, " ~ ", y)
  dat.lm <- lm(as.formula(regression), data = indata)
  r <- sprintf("italic(r) == %.2f",sqrt(summary(dat.lm)$r.squared))
  labels <- data.frame(r=r,stringsAsFactors = FALSE)
  
  ggplot(indata,aes(x=!!ensym(x), y=!!ensym(y)))+geom_point() + 
    geom_smooth(method = lm) + 
    labs(x=paste0(x," (log2 intensity)"),y=paste0(y," (log2 intensity)")) +
    geom_text(data=labels,mapping=aes(x = 15,y=30,label=r),parse = TRUE,inherit.aes = FALSE,size = 6)
}

p1 <- myplot(indata=dia,inx=2,iny=3)

方法2：用environment

showplot1<-function(indata, inx, iny) {
  dat <- indata
  p <- ggplot(dat, aes(x=dat[,inx], y=dat[,iny]), environment = environment())
  p <- p + geom_point()
  print(p)
}
showplot1(dia,2,3)

方法3：用aes_string

showplot1 <- function(indata, inx, iny) {
  x <- names(indata)[inx] 
  y <- names(indata)[iny] 
  p <- ggplot(indata, aes_string(x = x, y = y))
  p + geom_point()
}
showplot1(dia,2,3)

两两样本的相关性散点图可以用循环生成组合图。不赘述。

Ref: https://stackoverflow.com/questions/15323269/addressing-x-and-y-in-aes-by-variable-number