| What I want | What I type in R | What I get (and source) |
| I often want to visualizing 2 dimensional results. | require(stats) plot(cars) |
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| Scatter plots are nice, but it is nicer with histograms | library(psych) data(sat.act) scatter.hist(sat.act[5:6],pch=(19+sat.act$gender),col=c("blue","red")[sat.act$gender]) |
http://www.personality-project.org/r/psych/help/scatter.hist.html |
| R has serveral implementation sof that scatterplot /histogram combination | library(ade4) data(rpjdl) coa1 <- dudi.coa(rpjdl$fau, scannf = FALSE, nf = 4) s.hist(coa1$li) s.hist(coa1$li, cgrid = 2, cbr = 3, adj = 0.5, clab = 0) s.hist(coa1$co, cgrid = 2, cbr = 3, adj = 0.5, clab = 0) |
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| Or this implementation http://www.r-bloggers.com/example-10-3-enhanced-scatterplot-with-marginal-histograms/ |
graph copied from http://www.r-bloggers.com/example-10-3-enhanced-scatterplot-with-marginal-histograms/ | |
I have not yet made up my mind which to use…
The second one is more informative as it also correlates the y-axis of the histograms for both dimensions. However, the circles look a bit clumsy and I'm sure there is a more aesthetic solution to achieve the same
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