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February 03, 2010

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I like a lot of the points made here, but:

* why not mention par(las=1) for horizontal axis labels (which should be the default for readability, except that it usually requires adjustment of margin size (mar) and y-label placement (mgp or axis(...,lines=))? par(bty="l") is nice too, and adjusting the number of ticks on the axes ...

* the "R learning curve" plot is very un-Tufte-ish -- as long as we're going in that direction, why not at least use a gray grid? And why not use the built-in grid() function? And perhaps work it out so the grid is *underneath* the line? (In general this presentation shades toward "because you can" rather than "because it makes the graphic represent the data more clearly" ...)

* why not use polygon() to shade the area under the curve in the integral example?

I would like to know how to plot a confidence interval using smoothScatter function as in this figure4 (http://www.plosgenetics.org/article/info:doi%2F10.1371%2Fjournal.pgen.1000562).

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