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, "José 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,
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, 1
30L, 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, 22.7
5, 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, 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))
--
---------------------------------------
José M. Blanco-Moreno
Dept. de Biologia Vegetal (Botà nica)
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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