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

My data is arranged as follows:

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

I wish `k_e`

to be x-axis, `percent`

on y-axis and `time`

to denote the color.

All links I could find plotted a continuous matrix http://www.r-bloggers.com/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.

Answer:

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)
```

With ggplot, you can also try:

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

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