Postscript to Data Visualization
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Much to my chagrin, I realized I forgot to include one of the more interesting features in the lattice package. You can quickly turn a quantitative variable into one of levels of equal counts. This provides a nice way of looking at slices of your data in a trellis plot. These slices are referred to as shingles as they overlap according to your specification.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Here is a simple code example, using the quakes data included with R:
> library(lattice)
> head(quakes)
lat long depth mag stations
1 -20.42 181.62 562 4.8 41
2 -20.62 181.03 650 4.2 15
3 -26.00 184.10 42 5.4 43
4 -17.97 181.66 626 4.1 19
5 -20.42 181.96 649 4.0 11
6 -19.68 184.31 195 4.0 12
#Build an xyplot of lat and long conditioned by depth
> depth = quakes$depth
> range(depth)
[1] 40 680
> Depth = equal.count(depth, number=6, overlap=.05)> # with equal.count we now have sliced depth into 6 parts with an overlap of 5%
plot(Depth)
xyplot(lat~long | Depth, data=quakes)
The way to read this plot is starting from the bottom left working right then the next row up from left to right.
Enjoy.
TDM
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