coplot

Conditioning plot, AKA shingle plot. Why shingle? It has to do with overlapping results. In this case, 'conditioning' is, apparently, 'under several conditions.'  Think of a mosaic, where you have a series of related plots all together in one plot display. You print them separately because, I guess, if you put them on one graph it would be a mescla of data.

I don't know much about this type of plot just yet. Tableau builds these pretty well -- you are taking an xyplot and recalculating it on a different scale. It has a ton of options, but you only need the dataset and the three variables (the separate plots are technically extending an x/y relationship into a third dimension).

R Example

It's probably easier to understand what this thing is for if you look at what it does. This plot depicts the depth of earthquakes near Fiji across an array of latitude and longitude pairs.

> coplot(lat ~ long | depth, data = quakes)

Cute, right? What does it mean? Well, if I read this thing right, Fijiin quakes near 185, -10 generally occur deeper than do quakes near 165, -10. Or, probably a better way to look at it is given a depth of, say 300 feet, where are we likely to see a quake? 170, -10? 

I have no idea. I'll have to research this for better examples.

In the 3473 Video, Kern explains it as: using the top 'header' (my term) chart, there are six zones outlined. Each zone is depicted in one of the shingle plots below. But that still doesn't answer it fully for me. Stay tuned.