Dear R-users,
I have tried, and I imagine it should be somewhere in the lines of passing extra
arguments to the panel function, but does anyone know how to change the
character expansion factor that is affecting an individual point in each of the
panels of a lattice plot?
I have tried to pass an overall cex argument containing the desired size for
each point, but then the sizes are reused for the different groups beginning
with the first size, not with the first size belonging to a given group.
I tried:
xyplot(y~x|group,cex=z,data=dd)
But that gives me the undesired behaviour.
I hope I am not missing something really obvious.
Thank you,
José M.
Data:
structure(list(y = c(3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 38L, 38L, 38L, 38L, 44L,
44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L,
44L, 44L, 44L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L,
60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L,
60L, 60L, 60L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L,
79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 3L, 3L, 3L, 3L, 9L, 9L,
9L, 9L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 89L, 89L, 89L, 89L, 95L, 95L,
95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L,
95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 108L, 108L, 108L, 108L, 114L,
114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L,
108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L,
114L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L,
9L, 9L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L,
130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L,
3L, 3L, 9L, 9L, 9L, 9L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L,
19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L,
19L, 25L, 25L, 25L, 25L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L), x = c(3.25,
3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25,
16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75,
42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75,
3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75,
29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75,
48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75,
9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25,
35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 16.25, 16.25, 22.75, 22.75, 16.25,
16.25, 22.75, 22.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75,
3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75,
16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75,
35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75,
9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75,
22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25,
48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25,
9.75, 9.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 16.25,
16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75,
29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75,
48.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75,
9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75,
22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25,
48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25,
9.75, 9.75), group = structure(c(2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L, 1L, 2L, 1L), .Label = c("20", "0"), class =
"factor"), z = c(2, 0, 8, 3, 3, 4, 5, 4, 14, 11, 4, 2, 37, 7, 6, 5, 4,
3, 14, 5, 9, 3, 3, 1, 9, 4, 9, 7, 4, 2, 9, 1, 9, 2, 9, 1, 5, 2, 10, 1, 13, 5,
14, 4, 21, 6, 16, 3, 0, 1, 0, 0, 8, 3, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 14, 2, 5,
3, 3, 4, 14, 6, 9, 4, 4, 3, 14, 2, 5, 85, 17, 4, 4, 1, 3, 0, 8, 2, 10, 11, 43,
10, 27, 6, 16, 11, 2, 0, 3, 0, 2, 0, 1, 3, 4, 1, 3, 1, 10, 3, 3, 1, 10, 2, 1, 1,
11, 15, 3, 1, 0, 0, 6, 2, 3, 0, 0, 1, 3, 0, 3, 2, 2, 0, 1, 2, 2, 2, 3, 0, 3, 0,
2, 3, 6, 1, 7, 0, 1, 2, 3, 3, 1, 0, 2, 1, 1, 0, 0, 0, 6, 2, 0, 2, 12, 4, 6, 5,
8, 4, 8, 4, 12, 3, 0, 0, 4, 0, 4, 0, 5, 2, 4, 1, 8, 3, 3, 1, 1, 2, 1, 1, 8, 0,
0, 0, 13, 1, 18, 1, 5, 0, 14, 2, 2, 1, 2, 0, 4, 1, 1, 1, 4, 3, 3, 2, 3, 4, 8, 2,
2, 2, 8, 4, 4, 2, 6, 4, 7, 4, 3, 1, 10, 5, 4, 40, 4, 2, 14, 3, 5, 1, 7, 4, 4, 2,
6, 4, 2, 3, 9, 1, 13, 6, 22, 8)), .Names = c("y", "x",
"group", "z"), class = "data.frame", row.names =
c(35L, 83L, 131L, 179L, 227L, 275L, 323L, 371L, 419L, 467L, 515L, 563L, 611L,
659L, 707L, 755L, 803L, 851L, 899L, 947L, 995L, 1043L, 1091L, 1139L, 1187L,
1235L, 1283L, 1331L, 1379L, 1427L, 1475L, 1523L, 1571L, 1619L, 1667L, 1715L,
1763L, 1811L, 1859L, 1907L, 1955L, 2003L, 2051L, 2099L, 2147L, 2195L, 2243L,
2291L, 2339L, 2387L, 2435L, 2483L, 2531L, 2579L, 2627L, 2675L, 2723L, 2771L,
2819L, 2867L, 2915L, 2963L, 3011L, 3059L, 3107L, 3155L, 3203L, 3251L, 3299L,
3347L, 3395L, 3443L, 3491L, 3539L, 3587L, 3635L, 3683L, 3731L, 3779L, 3827L,
3875L, 3923L, 3971L, 4019L, 4067L, 4115L, 4163L, 4211L, 4259L, 4307L, 4355L,
4403L, 4451L, 4499L, 4547L, 4595L, 4643L, 4691L, 4739L, 4787L, 4835L, 4883L,
4931L, 4979L, 5027L, 5075L, 5123L, 5171L, 5219L, 5267L, 5315L, 5363L, 5411L,
5459L, 5507L, 5555L, 5603L, 5651L, 5699L, 5747L, 5795L, 5843L, 5891L, 5939L,
5987L, 6035L, 6083L, 6131L, 6179L, 6227L, 6275L, 6323L, 6371L, 6419L, 6467L,
6515L, 6563L, 6611L, 6659L, 6707L, 6755L, 6803L, 6851L, 6899L, 6947L, 6995L,
7043L, 7091L, 7139L, 7187L, 7235L, 7283L, 7331L, 7379L, 7427L, 7475L, 7523L,
7571L, 7619L, 7667L, 7715L, 7763L, 7811L, 7859L, 7907L, 7955L, 8003L, 8051L,
8099L, 8147L, 8195L, 8243L, 8291L, 8339L, 8387L, 8435L, 8483L, 8531L, 8579L,
8627L, 8675L, 8723L, 8771L, 8819L, 8867L, 8915L, 8963L, 9011L, 9059L, 9107L,
9155L, 9203L, 9251L, 9299L, 9347L, 9395L, 9443L, 9491L, 9539L, 9587L, 9635L,
9683L, 9731L, 9779L, 9827L, 9875L, 9923L, 9971L, 10019L, 10067L, 10115L, 10163L,
10211L, 10259L, 10307L, 10355L, 10403L, 10451L, 10499L, 10547L, 10595L, 10643L,
10691L, 10739L, 10787L, 10835L, 10883L, 10931L, 10979L, 11027L, 11075L, 11123L,
11171L, 11219L, 11267L, 11315L, 11363L, 11411L, 11459L, 11507L, 11555L, 11603L,
11651L, 11699L, 11747L, 11795L, 11843L, 11891L, 11939L, 11987L, 12035L, 12083L,
12131L, 12179L, 12227L, 12275L))
--
---------------------------------------
José M. Blanco-Moreno
Dept. de Biologia Vegetal (Botànica)
Facultat de Biologia
Universitat de Barcelona
Av. Diagonal 643
08028 Barcelona
SPAIN
---------------------------------------
phone: (+34) 934 039 863
fax: (+34) 934 112 842
---------------------------------------
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Using dput() is a good idea, but is the included dataset really a _minimal_ set to illustrate your problem? Peter Ehlers On 2012-07-20 18:00, "Jos? M. Blanco Moreno" wrote:> Dear R-users, > > I have tried, and I imagine it should be somewhere in the lines of passing extra arguments to the panel function, but does anyone know how to change the character expansion factor that is affecting an individual point in each of the panels of a lattice plot? > I have tried to pass an overall cex argument containing the desired size for each point, but then the sizes are reused for the different groups beginning with the first size, not with the first size belonging to a given group. > > I tried: > xyplot(y~x|group,cex=z,data=dd) > But that gives me the undesired behaviour. > > I hope I am not missing something really obvious. > > Thank you, > Jos?? M. > > Data: > structure(list(y = c(3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 124L, 124L, 124L, 124L, 130L, 130L, 13 0L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L), x = c(3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 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48.75 , 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75), group = structure(c(2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L), .Label = c("20", "0"), class = "factor"), z = c(2, 0, 8, 3, 3, 4, 5, 4, 14, 11, 4, 2, 37, 7, 6, 5, 4, 3, 14, 5, 9, 3, 3, 1, 9, 4, 9, 7, 4, 2, 9, 1, 9, 2, 9, 1, 5, 2, 10, 1, 13, 5, 14, 4, 21, 6, 16, 3, 0, 1, 0, 0, 8, 3, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 14, 2, 5, 3, 3, 4, 14, 6, 9, 4, 4, 3, 14, 2, 5, 85, 17, 4, 4, 1, 3, 0, 8, 2, 10, 11, 43, 10, 27, 6, 16, 11, 2, 0, 3, 0, 2, 0, 1, 3, 4, 1, 3, 1, 10, 3, 3, 1, 10, 2, 1, 1, 11, 15, 3, 1, 0, 0, 6, 2, 3, 0, 0, 1, 3, 0, 3, 2, 2, 0, 1, 2, 2, 2, 3, 0, 3, 0, 2, 3, 6, 1, 7, 0, 1, 2, 3, 3, 1, 0, 2, 1, 1, 0, 0, 0, 6, 2, 0, 2, 12, 4, 6, 5, 8, 4, 8, 4, 12, 3, 0, 0, 4, 0, 4, 0, 5, 2, 4, 1, 8, 3, 3, 1, 1, 2, 1, 1, 8, 0, 0, 0, 13, 1, 18, 1, 5, 0, 14, 2, 2, 1, 2, 0, 4, 1, 1, 1, 4, 3, 3, 2, 3, 4, 8, 2, 2, 2, 8, 4, 4, 2, 6, 4, 7, 4, 3, 1, 10, 5, 4, 40, 4, 2, 14, 3, 5, 1, 7, 4, 4, 2, 6, 4, 2, 3, 9, 1, 13, 6, 22, 8)), .Names = c(" y", "x", "group", "z"), class = "data.frame", row.names = c(35L, 83L, 131L, 179L, 227L, 275L, 323L, 371L, 419L, 467L, 515L, 563L, 611L, 659L, 707L, 755L, 803L, 851L, 899L, 947L, 995L, 1043L, 1091L, 1139L, 1187L, 1235L, 1283L, 1331L, 1379L, 1427L, 1475L, 1523L, 1571L, 1619L, 1667L, 1715L, 1763L, 1811L, 1859L, 1907L, 1955L, 2003L, 2051L, 2099L, 2147L, 2195L, 2243L, 2291L, 2339L, 2387L, 2435L, 2483L, 2531L, 2579L, 2627L, 2675L, 2723L, 2771L, 2819L, 2867L, 2915L, 2963L, 3011L, 3059L, 3107L, 3155L, 3203L, 3251L, 3299L, 3347L, 3395L, 3443L, 3491L, 3539L, 3587L, 3635L, 3683L, 3731L, 3779L, 3827L, 3875L, 3923L, 3971L, 4019L, 4067L, 4115L, 4163L, 4211L, 4259L, 4307L, 4355L, 4403L, 4451L, 4499L, 4547L, 4595L, 4643L, 4691L, 4739L, 4787L, 4835L, 4883L, 4931L, 4979L, 5027L, 5075L, 5123L, 5171L, 5219L, 5267L, 5315L, 5363L, 5411L, 5459L, 5507L, 5555L, 5603L, 5651L, 5699L, 5747L, 5795L, 5843L, 5891L, 5939L, 5987L, 6035L, 6083L, 6131L, 6179L, 6227L, 6275L, 6323L, 6371L, 6419L, 6467L, 6515L, 6563L, 66 11L, 665 9L, 6707L, 6755L, 6803L, 6851L, 6899L, 6947L, 6995L, 7043L, 7091L, 7139L, 7187L, 7235L, 7283L, 7331L, 7379L, 7427L, 7475L, 7523L, 7571L, 7619L, 7667L, 7715L, 7763L, 7811L, 7859L, 7907L, 7955L, 8003L, 8051L, 8099L, 8147L, 8195L, 8243L, 8291L, 8339L, 8387L, 8435L, 8483L, 8531L, 8579L, 8627L, 8675L, 8723L, 8771L, 8819L, 8867L, 8915L, 8963L, 9011L, 9059L, 9107L, 9155L, 9203L, 9251L, 9299L, 9347L, 9395L, 9443L, 9491L, 9539L, 9587L, 9635L, 9683L, 9731L, 9779L, 9827L, 9875L, 9923L, 9971L, 10019L, 10067L, 10115L, 10163L, 10211L, 10259L, 10307L, 10355L, 10403L, 10451L, 10499L, 10547L, 10595L, 10643L, 10691L, 10739L, 10787L, 10835L, 10883L, 10931L, 10979L, 11027L, 11075L, 11123L, 11171L, 11219L, 11267L, 11315L, 11363L, 11411L, 11459L, 11507L, 11555L, 11603L, 11651L, 11699L, 11747L, 11795L, 11843L, 11891L, 11939L, 11987L, 12035L, 12083L, 12131L, 12179L, 12227L, 12275L))> > > -- > --------------------------------------- > Jos?? M. Blanco-Moreno > Dept. de Biologia Vegetal (Bot? nica) > Facultat de Biologia > Universitat de Barcelona > Av. Diagonal 643 > 08028 Barcelona > SPAIN > --------------------------------------- > phone: (+34) 934 039 863 > fax: (+34) 934 112 842 > --------------------------------------- > > > The best argument against democracy is > a five-minute conversation with the > average voter. -Winston Churchill, statesman, > military and author (1874-1965) > > > > Aquest correu electr??nic i els annexos poden contenir informaci?? confidencial o protegida legalment i est? adre??at exclusivament a la persona o entitat destinat? ria. Si no sou el destinatari final o la persona encarregada de rebre???l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si heu rebut aquest correu electr??nic per error, us preguem que n???informeu al remitent i que elimineu del sistema el missatge i el material annex que pugui contenir. Gr? cies per la vostra col??laboraci??. > > Este correo electr??nico y sus anexos pueden contener informaci??n confidencial o legalmente protegida y est?? exclusivamente dirigido a la persona o entidad destinataria. Si usted no es el destinatario final o la persona encargada de recibirlo, no est?? autorizado a leerlo, retenerlo, modificarlo, distribuirlo, copiarlo ni a revelar su contenido. Si ha recibido este mensaje electr??nico por error, le rogamos que informe al remitente y elimine del sistema el mensaje y el material anexo que pueda contener. Gracias por su colaboraci??n. > > This email message and any documents attached to it may contain confidential or legally protected material and are intended solely for the use of the individual or organization to whom they are addressed. 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Sorry, I had meant to include the following line: Try: xyplot(y~x|group,cex=dd$z,data=dd) Peter Ehlers On 2012-07-20 18:00, "Jos? M. Blanco Moreno" wrote:> Dear R-users, > > I have tried, and I imagine it should be somewhere in the lines of passing extra arguments to the panel function, but does anyone know how to change the character expansion factor that is affecting an individual point in each of the panels of a lattice plot? > I have tried to pass an overall cex argument containing the desired size for each point, but then the sizes are reused for the different groups beginning with the first size, not with the first size belonging to a given group. > > I tried: > xyplot(y~x|group,cex=z,data=dd) > But that gives me the undesired behaviour. > > I hope I am not missing something really obvious. > > Thank you, > Jos?? M. > > Data: > structure(list(y = c(3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 124L, 124L, 124L, 124L, 130L, 130L, 13 0L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 38L, 38L, 38L, 38L, 44L, 44L, 44L, 44L), x = c(3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 42.25, 42.25, 48.75, 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 22.75, 29.25, 29.25, 35.75, 35.75, 29.25, 29.25, 35.75, 35.75, 16.25, 16.25, 22.75, 22.75, 16.25, 16.25, 22.75, 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48.75 , 48.75, 42.25, 42.25, 48.75, 48.75, 3.25, 3.25, 9.75, 9.75, 3.25, 3.25, 9.75, 9.75), group = structure(c(2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L), .Label = c("20", "0"), class = "factor"), z = c(2, 0, 8, 3, 3, 4, 5, 4, 14, 11, 4, 2, 37, 7, 6, 5, 4, 3, 14, 5, 9, 3, 3, 1, 9, 4, 9, 7, 4, 2, 9, 1, 9, 2, 9, 1, 5, 2, 10, 1, 13, 5, 14, 4, 21, 6, 16, 3, 0, 1, 0, 0, 8, 3, 0, 0, 0, 0, 1, 0, 3, 0, 0, 0, 14, 2, 5, 3, 3, 4, 14, 6, 9, 4, 4, 3, 14, 2, 5, 85, 17, 4, 4, 1, 3, 0, 8, 2, 10, 11, 43, 10, 27, 6, 16, 11, 2, 0, 3, 0, 2, 0, 1, 3, 4, 1, 3, 1, 10, 3, 3, 1, 10, 2, 1, 1, 11, 15, 3, 1, 0, 0, 6, 2, 3, 0, 0, 1, 3, 0, 3, 2, 2, 0, 1, 2, 2, 2, 3, 0, 3, 0, 2, 3, 6, 1, 7, 0, 1, 2, 3, 3, 1, 0, 2, 1, 1, 0, 0, 0, 6, 2, 0, 2, 12, 4, 6, 5, 8, 4, 8, 4, 12, 3, 0, 0, 4, 0, 4, 0, 5, 2, 4, 1, 8, 3, 3, 1, 1, 2, 1, 1, 8, 0, 0, 0, 13, 1, 18, 1, 5, 0, 14, 2, 2, 1, 2, 0, 4, 1, 1, 1, 4, 3, 3, 2, 3, 4, 8, 2, 2, 2, 8, 4, 4, 2, 6, 4, 7, 4, 3, 1, 10, 5, 4, 40, 4, 2, 14, 3, 5, 1, 7, 4, 4, 2, 6, 4, 2, 3, 9, 1, 13, 6, 22, 8)), .Names = c(" y", "x", "group", "z"), class = "data.frame", row.names = c(35L, 83L, 131L, 179L, 227L, 275L, 323L, 371L, 419L, 467L, 515L, 563L, 611L, 659L, 707L, 755L, 803L, 851L, 899L, 947L, 995L, 1043L, 1091L, 1139L, 1187L, 1235L, 1283L, 1331L, 1379L, 1427L, 1475L, 1523L, 1571L, 1619L, 1667L, 1715L, 1763L, 1811L, 1859L, 1907L, 1955L, 2003L, 2051L, 2099L, 2147L, 2195L, 2243L, 2291L, 2339L, 2387L, 2435L, 2483L, 2531L, 2579L, 2627L, 2675L, 2723L, 2771L, 2819L, 2867L, 2915L, 2963L, 3011L, 3059L, 3107L, 3155L, 3203L, 3251L, 3299L, 3347L, 3395L, 3443L, 3491L, 3539L, 3587L, 3635L, 3683L, 3731L, 3779L, 3827L, 3875L, 3923L, 3971L, 4019L, 4067L, 4115L, 4163L, 4211L, 4259L, 4307L, 4355L, 4403L, 4451L, 4499L, 4547L, 4595L, 4643L, 4691L, 4739L, 4787L, 4835L, 4883L, 4931L, 4979L, 5027L, 5075L, 5123L, 5171L, 5219L, 5267L, 5315L, 5363L, 5411L, 5459L, 5507L, 5555L, 5603L, 5651L, 5699L, 5747L, 5795L, 5843L, 5891L, 5939L, 5987L, 6035L, 6083L, 6131L, 6179L, 6227L, 6275L, 6323L, 6371L, 6419L, 6467L, 6515L, 6563L, 66 11L, 665 9L, 6707L, 6755L, 6803L, 6851L, 6899L, 6947L, 6995L, 7043L, 7091L, 7139L, 7187L, 7235L, 7283L, 7331L, 7379L, 7427L, 7475L, 7523L, 7571L, 7619L, 7667L, 7715L, 7763L, 7811L, 7859L, 7907L, 7955L, 8003L, 8051L, 8099L, 8147L, 8195L, 8243L, 8291L, 8339L, 8387L, 8435L, 8483L, 8531L, 8579L, 8627L, 8675L, 8723L, 8771L, 8819L, 8867L, 8915L, 8963L, 9011L, 9059L, 9107L, 9155L, 9203L, 9251L, 9299L, 9347L, 9395L, 9443L, 9491L, 9539L, 9587L, 9635L, 9683L, 9731L, 9779L, 9827L, 9875L, 9923L, 9971L, 10019L, 10067L, 10115L, 10163L, 10211L, 10259L, 10307L, 10355L, 10403L, 10451L, 10499L, 10547L, 10595L, 10643L, 10691L, 10739L, 10787L, 10835L, 10883L, 10931L, 10979L, 11027L, 11075L, 11123L, 11171L, 11219L, 11267L, 11315L, 11363L, 11411L, 11459L, 11507L, 11555L, 11603L, 11651L, 11699L, 11747L, 11795L, 11843L, 11891L, 11939L, 11987L, 12035L, 12083L, 12131L, 12179L, 12227L, 12275L))> > > -- > --------------------------------------- > Jos?? M. Blanco-Moreno > Dept. de Biologia Vegetal (Bot? nica) > Facultat de Biologia > Universitat de Barcelona > Av. Diagonal 643 > 08028 Barcelona > SPAIN > --------------------------------------- > phone: (+34) 934 039 863 > fax: (+34) 934 112 842 > --------------------------------------- > > > The best argument against democracy is > a five-minute conversation with the > average voter. -Winston Churchill, statesman, > military and author (1874-1965) > > > > Aquest correu electr??nic i els annexos poden contenir informaci?? confidencial o protegida legalment i est? adre??at exclusivament a la persona o entitat destinat? ria. Si no sou el destinatari final o la persona encarregada de rebre???l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si heu rebut aquest correu electr??nic per error, us preguem que n???informeu al remitent i que elimineu del sistema el missatge i el material annex que pugui contenir. 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