I am creating a few dozen multi-panel time series plots using lattice graphics
in the lme4 package. Each panel in a given plot represents a tree. each
multipanel plot is a particular treatment. Here's my issue: when you use
xyplot() to plot this data it orders the panels alphabetically. I would prefer
to have them in order of increasing slope of the regression line plotted in
each panel. I've read everything I can find regarding the index.cond argument,
and the best I can come up with is to manually order them to have the correct
increasing slope order, i.e. index.cond=c(7,6,23,4,15,8,...). This would take
inordinate amounts of time and I'm sure there is a better, more eloquent
solution. Please help!
Sorry for the long dataset below, I'm unsure of how to create a reproducible
example otherwise.
example.plot = xyplot(ht ~ time|tree, data=data,
type = c("r", "g", "p"),
par.settings=simpleTheme(col="blue"),
main="abc",
)
example.plot
data=
tree treat site plot rx mr rxl t w l spp time dia ht
1 1 1 C-H 2002 1 1 Mn N N 14.55 ac 1 9.6 74.5
2 2 1 C-H 2002 1 1 Mn N N 14.55 ac 1 7.4 69.5
3 3 1 C-H 2003 1 1 Mn N N 13.34 ac 1 6.0 66.7
4 4 1 C-H 2003 1 1 Mn N N 13.34 ac 1 7.1 75.4
5 5 1 C-H 2003 1 1 Mn N N 13.34 ac 1 7.5 57.5
6 6 1 C-H 2008 2 1 Mc N N 11.63 ac 1 5.7 71.5
7 7 1 C-H 2008 2 1 Mc N N 11.63 ac 1 5.2 50.0
8 8 1 C-H 2011 2 1 Mc N N 13.04 ac 1 6.3 62.0
9 9 1 C-H 2011 2 1 Mc N N 13.04 ac 1 6.7 60.5
10 10 1 C-H 2017 3 1 H N N 11.38 ac 1 10.7 82.0
11 11 1 C-H 2017 3 1 H N N 11.38 ac 1 4.4 27.0
12 12 1 C-H 2018 3 1 H N N 11.08 ac 1 5.8 49.0
13 13 1 C-H 2018 3 1 H N N 11.08 ac 1 4.3 64.2
14 14 1 C-H 2013 4 1 McH N N 15.09 ac 1 11.4 86.0
15 15 1 C-H 2013 4 1 McH N N 15.09 ac 1 7.6 87.5
16 16 1 C-H 2014 4 1 McH N N 14.17 ac 1 5.8 60.1
17 17 1 C-H 2014 4 1 McH N N 14.17 ac 1 11.5 100.5
18 18 1 C-H 2014 4 1 McH N N 14.17 ac 1 4.7 53.2
19 19 1 C-H 2019 5 1 MnH N N 11.72 ac 1 8.1 56.0
20 20 1 C-H 2019 5 1 MnH N N 11.72 ac 1 7.1 56.0
21 21 1 C-H 2019 5 1 MnH N N 11.72 ac 1 7.1 56.0
22 22 1 C-H 2020 5 1 MnH N N 14.71 ac 1 7.0 78.2
23 23 1 C-H 2020 5 1 MnH N N 14.71 ac 1 5.2 47.2
24 24 1 C-H 2020 5 1 MnH N N 14.71 ac 1 7.0 83.5
595 1 1 C-H 2002 1 1 Mn N N 14.55 ac 2 9.6 96.0
596 2 1 C-H 2002 1 1 Mn N N 14.55 ac 2 6.0 72.0
597 3 1 C-H 2003 1 1 Mn N N 13.34 ac 2 5.7 75.0
598 4 1 C-H 2003 1 1 Mn N N 13.34 ac 2 7.5 101.0
599 5 1 C-H 2003 1 1 Mn N N 13.34 ac 2 6.9 58.0
600 6 1 C-H 2008 2 1 Mc N N 11.63 ac 2 6.0 84.0
601 7 1 C-H 2008 2 1 Mc N N 11.63 ac 2 6.3 72.0
602 8 1 C-H 2011 2 1 Mc N N 13.04 ac 2 7.4 101.0
603 9 1 C-H 2011 2 1 Mc N N 13.04 ac 2 5.6 62.0
604 10 1 C-H 2017 3 1 H N N 11.38 ac 2 10.7 110.0
605 11 1 C-H 2017 3 1 H N N 11.38 ac 2 4.7 60.0
606 12 1 C-H 2018 3 1 H N N 11.08 ac 2 6.4 48.0
607 13 1 C-H 2018 3 1 H N N 11.08 ac 2 5.6 70.0
608 14 1 C-H 2013 4 1 McH N N 15.09 ac 2 11.0 116.0
609 15 1 C-H 2013 4 1 McH N N 15.09 ac 2 7.5 104.0
610 16 1 C-H 2014 4 1 McH N N 14.17 ac 2 6.5 61.0
611 17 1 C-H 2014 4 1 McH N N 14.17 ac 2 10.9 110.0
612 18 1 C-H 2014 4 1 McH N N 14.17 ac 2 5.9 50.0
613 19 1 C-H 2019 5 1 MnH N N 11.72 ac 2 8.1 76.0
614 20 1 C-H 2019 5 1 MnH N N 11.72 ac 2 7.1 82.0
615 21 1 C-H 2019 5 1 MnH N N 11.72 ac 2 7.1 82.0
616 22 1 C-H 2020 5 1 MnH N N 14.71 ac 2 7.6 98.0
617 23 1 C-H 2020 5 1 MnH N N 14.71 ac 2 6.1 70.0
618 24 1 C-H 2020 5 1 MnH N N 14.71 ac 2 8.4 95.0
1189 1 1 C-H 2002 1 1 Mn N N 14.55 ac 3 13.0 109.0
1190 2 1 C-H 2002 1 1 Mn N N 14.55 ac 3 9.8 77.0
1191 3 1 C-H 2003 1 1 Mn N N 13.34 ac 3 8.0 80.0
1192 4 1 C-H 2003 1 1 Mn N N 13.34 ac 3 13.0 113.0
1193 5 1 C-H 2003 1 1 Mn N N 13.34 ac 3 NA NA
1194 6 1 C-H 2008 2 1 Mc N N 11.63 ac 3 7.7 89.0
1195 7 1 C-H 2008 2 1 Mc N N 11.63 ac 3 9.5 84.0
1196 8 1 C-H 2011 2 1 Mc N N 13.04 ac 3 6.2 122.0
1197 9 1 C-H 2011 2 1 Mc N N 13.04 ac 3 NA NA
1198 10 1 C-H 2017 3 1 H N N 11.38 ac 3 11.5 104.0
1199 11 1 C-H 2017 3 1 H N N 11.38 ac 3 6.1 62.0
1200 12 1 C-H 2018 3 1 H N N 11.08 ac 3 NA NA
1201 13 1 C-H 2018 3 1 H N N 11.08 ac 3 NA NA
1202 14 1 C-H 2013 4 1 McH N N 15.09 ac 3 15.4 100.0
1203 15 1 C-H 2013 4 1 McH N N 15.09 ac 3 4.8 113.0
1204 16 1 C-H 2014 4 1 McH N N 14.17 ac 3 NA NA
1205 17 1 C-H 2014 4 1 McH N N 14.17 ac 3 NA NA
1206 18 1 C-H 2014 4 1 McH N N 14.17 ac 3 NA NA
1207 19 1 C-H 2019 5 1 MnH N N 11.72 ac 3 12.4 92.0
1208 20 1 C-H 2019 5 1 MnH N N 11.72 ac 3 9.6 88.0
1209 21 1 C-H 2019 5 1 MnH N N 11.72 ac 3 9.6 88.0
1210 22 1 C-H 2020 5 1 MnH N N 14.71 ac 3 11.0 94.0
1211 23 1 C-H 2020 5 1 MnH N N 14.71 ac 3 9.0 75.0
1212 24 1 C-H 2020 5 1 MnH N N 14.71 ac 3 10.5 100.0
1783 1 1 C-H 2002 1 1 Mn N N 14.55 ac 4 13.5 102.0
1784 2 1 C-H 2002 1 1 Mn N N 14.55 ac 4 NA 76.0
1785 3 1 C-H 2003 1 1 Mn N N 13.34 ac 4 11.0 79.0
1786 4 1 C-H 2003 1 1 Mn N N 13.34 ac 4 11.8 115.0
1787 5 1 C-H 2003 1 1 Mn N N 13.34 ac 4 NA NA
1788 6 1 C-H 2008 2 1 Mc N N 11.63 ac 4 NA 84.0
1789 7 1 C-H 2008 2 1 Mc N N 11.63 ac 4 10.5 84.0
1790 8 1 C-H 2011 2 1 Mc N N 13.04 ac 4 10.4 125.0
1791 9 1 C-H 2011 2 1 Mc N N 13.04 ac 4 NA NA
1792 10 1 C-H 2017 3 1 H N N 11.38 ac 4 10.2 108.0
1793 11 1 C-H 2017 3 1 H N N 11.38 ac 4 7.2 66.0
1794 12 1 C-H 2018 3 1 H N N 11.08 ac 4 NA NA
1795 13 1 C-H 2018 3 1 H N N 11.08 ac 4 NA NA
1796 14 1 C-H 2013 4 1 McH N N 15.09 ac 4 18.5 121.0
1797 15 1 C-H 2013 4 1 McH N N 15.09 ac 4 15.0 106.0
1798 16 1 C-H 2014 4 1 McH N N 14.17 ac 4 NA NA
1799 17 1 C-H 2014 4 1 McH N N 14.17 ac 4 NA NA
1800 18 1 C-H 2014 4 1 McH N N 14.17 ac 4 NA NA
1801 19 1 C-H 2019 5 1 MnH N N 11.72 ac 4 11.4 114.0
1802 20 1 C-H 2019 5 1 MnH N N 11.72 ac 4 10.6 83.0
1803 21 1 C-H 2019 5 1 MnH N N 11.72 ac 4 10.6 83.0
1804 22 1 C-H 2020 5 1 MnH N N 14.71 ac 4 8.2 94.0
1805 23 1 C-H 2020 5 1 MnH N N 14.71 ac 4 9.1 30.0
1806 24 1 C-H 2020 5 1 MnH N N 14.71 ac 4 11.0 111.0
2377 1 1 C-H 2002 1 1 Mn N N 14.55 ac 5 14.2 110.0
2378 2 1 C-H 2002 1 1 Mn N N 14.55 ac 5 10.7 92.0
2379 3 1 C-H 2003 1 1 Mn N N 13.34 ac 5 10.1 91.0
2380 4 1 C-H 2003 1 1 Mn N N 13.34 ac 5 12.3 128.0
2381 5 1 C-H 2003 1 1 Mn N N 13.34 ac 5 NA NA
2382 6 1 C-H 2008 2 1 Mc N N 11.63 ac 5 8.5 86.0
2383 7 1 C-H 2008 2 1 Mc N N 11.63 ac 5 9.6 89.0
2384 8 1 C-H 2011 2 1 Mc N N 13.04 ac 5 11.3 130.0
2385 9 1 C-H 2011 2 1 Mc N N 13.04 ac 5 NA NA
2386 10 1 C-H 2017 3 1 H N N 11.38 ac 5 11.2 110.0
2387 11 1 C-H 2017 3 1 H N N 11.38 ac 5 8.5 83.0
2388 12 1 C-H 2018 3 1 H N N 11.08 ac 5 NA NA
2389 13 1 C-H 2018 3 1 H N N 11.08 ac 5 NA NA
2390 14 1 C-H 2013 4 1 McH N N 15.09 ac 5 21.1 156.0
2391 15 1 C-H 2013 4 1 McH N N 15.09 ac 5 17.5 132.0
2392 16 1 C-H 2014 4 1 McH N N 14.17 ac 5 NA NA
2393 17 1 C-H 2014 4 1 McH N N 14.17 ac 5 NA NA
2394 18 1 C-H 2014 4 1 McH N N 14.17 ac 5 NA NA
2395 19 1 C-H 2019 5 1 MnH N N 11.72 ac 5 15.1 132.0
2396 20 1 C-H 2019 5 1 MnH N N 11.72 ac 5 9.0 105.0
2397 21 1 C-H 2019 5 1 MnH N N 11.72 ac 5 9.9 90.0
2398 22 1 C-H 2020 5 1 MnH N N 14.71 ac 5 13.0 122.0
2399 23 1 C-H 2020 5 1 MnH N N 14.71 ac 5 12.3 91.0
2400 24 1 C-H 2020 5 1 MnH N N 14.71 ac 5 14.5 145.0
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