在绘制figure时,有连续性变量赋值时常常要用colorbar表示值的大小,如果有特殊的界值(如Pvalue<0.05, OR>1),需要将中间值单独设置个颜色作为区分。以我的自建数据集为例。
当不设置区分时
- ggplot(data = dat1,aes(x = Dictionary.element,y = log(OR),color=-log(FDR))) +
- geom_point() +
- theme_bw()+
- geom_hline(yintercept = 1,color="red",linetype="dotted")+
- labs(x="Dictionary element",y="OR (95%CI)-log transformed")
此时无法判断哪个点为有意义。scales包中的scale_color_gradient2可以解决这个问题。
- ggplot(data = dat1,aes(x = Dictionary.element,y = log(OR),color=-log(FDR))) +
- geom_point() +
- theme_bw()+
- geom_hline(yintercept = 1,color="red",linetype="dotted")+
- labs(x="Dictionary element",y="OR (95%CI)-log transformed")+
- scale_color_gradient2(midpoint = 3, mid = "white",
- high = muted("red"), low = muted("blue"),
- guide = "colourbar", space = "Lab")
2)方法二,scale_fill_gradientn
- ggplot(data = dat1,aes(x = group,y = log(OR),color=-log(FDR))) +
- geom_point() +
- theme_bw()+
- geom_hline(yintercept = 1,color="red",linetype="dotted")+
- labs(x="Dictionary element",y="OR (95%CI)-log-
- transformed")+scale_color_gradientn(colours = c("blue","white","red"), values =
- rescale(c(1,3,15)),guide = "colorbar", limits=c(1,15))
想要设置对称时,可以修改limit和rescale范围,如
scale_color_gradientn(colours = c("blue","white","red"), values = rescale(c(-9,3,15)),guide = "colorbar", limits=c(-9,15))
此时为以3位对称的colorbar
Reference:
r - asymmetric color distribution in scale_gradient2? - Stack Overflow