Dear all R2.10 WinXP
I have a dataset dealing with the way different wheat cultivars build their yield. Wheat ears are organised in spikelets where the spikelets can be numbered from the bottom, with even numbers on one side and odd on the other. I know how many kernels there were in each spikelet after some months spent counting them... Now I want to illustrate the differences between the cultivars in how the kernels are distributed in the ears. In the best of all possible worlds it would be possible to place histograms or boxplots on adjecent sides of vertical lines representing different cultivars. I have done some experimenting using boxplot() but I am stuck and out of ideas right now. All ideas are welcome! /CG Here is a sample dataset with the countings of kernels for the first 14 spikelets: cn spl01 spl02 spl03 spl04 spl05 spl06 spl07 spl08 spl09 spl10 spl11 spl12 spl13 spl14 Lans 1.8 3.1 3.5 3.8 3.8 4.1 4.2 4.3 4.4 4.5 4.2 4.1 3.9 3.8 Kranich 0.6 2.4 3.4 4.2 4.5 4.7 4.9 4.9 4.8 4.7 4.4 4.1 4.1 3.9 Loyal 1.1 2.7 3.6 3.7 4.1 4.4 4.4 4.6 4.3 4.5 4.3 4.1 3.8 3.7 Boomer NA NA NA NA NA NA NA NA NA NA NA NA NA NA Oakley NA NA NA NA NA NA NA NA NA NA NA NA NA NA Hereford 0.6 2.3 3.3 3.6 3.9 4 4.2 4.1 4.1 3.9 3.9 3.6 3.4 3.2 Kranich 0.3 2.5 3.6 4 4.4 4.5 4.3 4.8 4.7 4.6 4.4 4.3 4.1 4 Oakley 0.5 2.1 3.2 3.4 3.8 4.4 4.3 4.3 4.3 4.2 4.2 3.9 3.8 3.6 Loyal 1.6 3.3 3.9 4.2 4.3 4.4 4.4 4.6 4.6 4.5 4.3 4.3 4.2 4 Hereford NA NA NA NA NA NA NA NA NA NA NA NA NA NA Oakley 0.5 2.1 3.2 3.6 4 4 4.1 4.4 4.4 4.2 4.1 3.8 3.8 4 Kranich NA NA NA NA NA NA NA NA NA NA NA NA NA NA Lans 1.4 3 3.3 3.8 3.9 4.3 4 4.3 4.3 4.3 4 4.1 4 4 Hereford 1.2 2.7 3.6 3.8 4 4 4.1 4.2 4.1 4.1 3.9 3.6 3.8 3.3 Boomer 0.3 2.5 3.1 3.8 3.9 4.4 4.1 4.2 4.3 4 4.2 4 3.8 3.7 Lans NA NA NA NA NA NA NA NA NA NA NA NA NA NA Boomer 0.2 1.9 3 3.4 3.7 3.9 3.9 4 4 4 3.8 3.8 3.6 3.4 Loyal NA NA NA NA NA NA NA NA NA NA NA NA NA NA Boomer NA NA NA NA NA NA NA NA NA NA NA NA NA NA Kranich NA NA NA NA NA NA NA NA NA NA NA NA NA NA Kranich 0.3 1.1 2.9 3.5 3.9 4.3 4.4 4.4 4 4.2 4.2 4 3.9 3.8 Hereford 0.5 2.1 3.1 3.6 3.7 3.9 4 3.8 4 3.8 3.6 3.6 3.1 3 Loyal NA NA NA NA NA NA NA NA NA NA NA NA NA NA Boomer 0.3 0.8 2.8 3 3.6 3.7 3.8 4 3.8 3.5 3.3 3.2 3.2 2.9 Oakley 0.5 2.7 3.4 3.8 4 3.9 4.2 4.5 4.3 4.4 4 4 3.9 3.9 Loyal 0.9 2.6 3.6 3.8 3.8 4.4 4.2 4.4 4.2 3.9 3.8 4 3.4 3.7 Oakley NA NA NA NA NA NA NA NA NA NA NA NA NA NA Hereford 0.7 2.9 3.6 4 4 3.9 4 4 4 3.9 3.8 3.7 3 3 Hereford NA NA NA NA NA NA NA NA NA NA NA NA NA NA Loyal 0.7 2.3 3.5 3.7 3.9 3.8 4.2 4.1 4.1 4.1 4 4 3.4 3.6 Boomer 0.7 2 3.3 3.5 3.9 3.7 4 3.9 3.8 4 3.7 3.8 3.5 3.4 Lans NA NA NA NA NA NA NA NA NA NA NA NA NA NA Lans 1.9 3 3.7 3.8 3.9 4 3.9 4.3 4.1 4.1 4.1 3.8 3.8 3.9 Lans 1.1 2.6 3.3 3.7 4.1 4 4.2 4.2 4.2 4 4.1 4.1 3.8 3.6 Kranich 0.5 1.3 2.9 3.8 3.8 4.3 4.3 4.4 4.4 4 4.3 3.9 3.6 3.4 Oakley 0.1 2 3.1 3.5 4.1 3.9 4.1 4.2 4.2 4.2 4.1 4 3.9 3.8 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
