R中的选择热图

本文介绍了R中的选择热图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我希望在R中创建类似于以下类型的不连续热图的东西:

I wish to create something similar to the following types of discontinuous heat map in R:

我的数据安排如下:

k_e percent time .. .. .. .. .. ..

我希望k_e是x轴，percent在y轴上，并且time表示颜色.

I wish k_e to be x-axis, percent on y-axis and time to denote the color.

我可以找到的所有链接都绘制了一个连续矩阵 http ://www.r-bloggers/ggheat-a-ggplot2-style-heatmap-function/或插值.但我不希望上述任何一种情况，我想绘制不连续的热图，如上图所示.

All links I could find plotted a continuous matrix www.r-bloggers/ggheat-a-ggplot2-style-heatmap-function/ or interpolated. But I wish neither of the aforementioned, I want to plot discontinuous heatmap as in the images above.

推荐答案

第二个是十六进制图 如果您的(x，y)对是唯一的，则可以执行x y绘图，如果这是您想要的，则可以尝试使用基数R绘图函数:

The second one is a hexbin plot If your (x,y) pairs are unique, you can do an x y plot, if that's what you want, you can try using base R plot functions:

x <- runif(100) y<-runif(100) time<-runif(100) pal <- colorRampPalette(c('white','black')) #cut creates 10 breaks and classify all the values in the time vector in #one of the breaks, each of these values is then indexed by a color in the #pal colorRampPalette. cols <- pal(10)[as.numeric(cut(time,breaks = 10))] #plot(x,y) creates the plot, pch sets the symbol to use and col the color of the points plot(x,y,pch=19,col = cols)

使用ggplot，您还可以尝试:

With ggplot, you can also try:

library(ggplot2) qplot(x,y,color=time)