[R] changing cex pointwise in lattice

Peter Ehlers ehlers at ucalgary.ca
Sat Jul 21 03:30:33 CEST 2012


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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