[R] xyplot() does not plot legends with relation=free scales
Hi all,
I have this problem with lattice that xyplot() won't draw some of my axis
labels if the type (i.e. the relation argument) of scales is set as free. For
example, in the plot below, I would want it to also show:
1. the labels E1,...E6 below the 10th panel (i.e. 3rd row, 2 col)just as it
is now done below the 12th panel
2. as well as the labels (2,4,6,8) on the top of panels 1 and 3 (by on top, i
mean above the strips, as xyplot normally does by default but can't seem to be
willing to do in the example below).
PS: i had originally posted this question on stackoverlow but since i didn't
get an answer there i've deleted it there and posting it here.
Happy Easter,
B-structure(list(yval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68,
6.77, 1.48, 7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48,
0.69, 4.81, 1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94,
0.47, 0.7, 0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4,
0.56, 7.07, 0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27,
1.85, 5.23, 0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42,
1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57,
0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23,
0.74, 2.21), xval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68, 6.77, 1.48,
7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48, 0.69, 4.81,
1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94, 0.47, 0.7,
0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4, 0.56, 7.07,
0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27, 1.85, 5.23,
0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42, !
1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57,
0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23,
0.74, 2.21), gval = c(1, 3, 4, 4, 1, 5, 5, 4, 6, 4, 2, 6, 4, 3, 4, 4, 3, 5, 1,
5, 1, 5, 6, 6, 6, 1, 1, 1, 1, 5, 1, 3, 4, 5, 4, 3, 5, 1, 5, 4, 5, 6, 3, 4, 3,
6, 3, 1, 2, 1, 3, 2, 1, 3, 4, 5, 4, 6, 6, 6, 5, 2, 1, 4, 5, 5, 4, 1, 1, 1, 3,
2, 2, 6, 2, 3, 3, 4, 1, 3, 2, 1, 3, 6, 5, 2, 6, 4, 2, 2, 1, 1, 5, 2, 6, 6, 3,
1, 4, 3), type = structure(c(2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L,
3L, 2L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 1L, 2L, 1L,
2L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L,
1L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 2L,
2L, 2L, 2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 1L, 3L, 1L, 3L, 2L), .Label = c(0, 1, 5), class = factor),
cr = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L!
, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label =
c(0.2, 0.3, 0.4), class = factor), p = structure(c(1L, 2L, 1L, 1L, 2L,
1L, 4L, 4L, 2L, 4L, 3L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 4L, 3L,
2L, 4L, 1L, 4L, 1L, 4L, 1L, 4L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 4L, 4L, 2L, 1L, 2L,
1L, 1L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 3L,
4L, 3L, 2L, 4L, 4L, 4L, 3L, 3L, 1L, 4L, 4L, 2L, 3L, 3L, 1L, 2L, 4L, 2L, 3L, 1L,
2L, 4L, 4L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 4L, 1L, 3L, 2L, 4L), .Label = c(4,
8, 12, 20), class = factor), grp = c(4, 2, 2, 2, 4, 2, 2, 4, 4, 4, 4,
5, 2, 4, 5, 2, 2, 4, 5, 5, 2, 4, 5, 4, 2, 4, 2, 2, 4, 5, 4, 5, 4, 2, 5, 4, 2,
4, 5, 2, 5, 4, 2, 4, 5, 5, 5, 4, 2, 4, 2, 2!
, 5, 2, 4, 4, 4, 2, 5, 4, 4, 2, 5, 4, 5, 2, 2, 4, 2, 2, 4, 4, 4, 4, 4, 5, 2,
5, 2, 5, 4, 4, 4, 2, 2, 4, 2, 5, 4, 4, 4, 4, 4, 4, 4, 5, 2, 5, 2, 4)), .Names =
c(yval, xval, gval, type, cr, p, grp), row.names = c(NA, -100L),
class = data.frame)
And the code:
library(lattice)
library(robustbase)
library(latticeExtra)
typis - c(A,B,C)
types - 1:4
mypanel - function(...){
if(current.row()3){
panel.grid(v=-1,h=-1,col=dark grey)
panel.xyplot(...)
} else {
panel.grid(v=-1,h=-1,col=dark grey)
cl - trellis.par.get()$superpose.line$col
panel.bwplot(...,pch=-,cex=3,fill=cl,horizontal=FALSE,stats=adjboxStats)
}
}
cl - trellis.par.get()$superpose.line$col
lmi - rep(list(c(0,10)),12)
lbl - rep(list(NULL),12)
lbl[[9]] - lbl[[12]]-c(E1,E2,E3,E4,E5,E6)
lbl[[1]] - lbl[[3]]-c(2,4,6,8)
aty - rep(list(NULL),12)
aty[[1]] - aty[[9]] - TRUE
atx - rep(list(NULL),12)
atx[[12]] - atx[[10]] - seq(1.5,9,by=1.5)
rtl - c(45,0)
Re: [R] xyplot() does not plot legends with relation=free scales
Sorry, the B data.frame() didn't copy/paste well. Here is a working version (hopefully) B-structure(list(yval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68,6.77, 1.48, 7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48, 0.69, 4.81, 1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94, 0.47, 0.7, 0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4, 0.56, 7.07, 0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27, 1.85, 5.23, 0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42, 1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57, 0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23, 0.74, 2.21), xval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68, 6.77, 1.48, 7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48, 0.69, 4.81, 1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94, 0.47, 0.7, 0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4, 0.56, 7.07, 0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27, 1.85, 5.23, 0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42, 1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57, 0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23, 0.74, 2.21), gval = c(1, 3, 4, 4, 1, 5, 5, 4, 6, 4, 2, 6, 4, 3, 4, 4, 3, 5, 1, 5, 1, 5, 6, 6, 6, 1, 1, 1, 1, 5, 1, 3, 4, 5, 4, 3, 5, 1, 5, 4, 5, 6, 3, 4, 3, 6, 3, 1, 2, 1, 3, 2, 1, 3, 4, 5, 4, 6, 6, 6, 5, 2, 1, 4, 5, 5, 4, 1, 1, 1, 3, 2, 2, 6, 2, 3, 3, 4, 1, 3, 2, 1, 3, 6, 5, 2, 6, 4, 2, 2, 1, 1, 5, 2, 6, 6, 3, 1, 4, 3), type = structure(c(2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 3L, 2L), .Label = c(0, 1, 5), class = factor), cr = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L , 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c(0.2, 0.3, 0.4), class = factor), p = structure(c(1L, 2L, 1L, 1L, 2L, 1L, 4L, 4L, 2L, 4L, 3L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 4L, 3L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 4L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 3L, 4L, 3L, 2L, 4L, 4L, 4L, 3L, 3L, 1L, 4L, 4L, 2L, 3L, 3L, 1L, 2L, 4L, 2L, 3L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 4L, 1L, 3L, 2L, 4L), .Label = c(4, 8, 12, 20), class = factor), grp = c(4, 2, 2, 2, 4, 2, 2, 4, 4, 4, 4, 5, 2, 4, 5, 2, 2, 4, 5, 5, 2, 4, 5, 4, 2, 4, 2, 2, 4, 5, 4, 5, 4, 2, 5, 4, 2, 4, 5, 2, 5, 4, 2, 4, 5, 5, 5, 4, 2, 4, 2, 2 , 5, 2, 4, 4, 4, 2, 5, 4, 4, 2, 5, 4, 5, 2, 2, 4, 2, 2, 4, 4, 4, 4, 4, 5, 2, 5, 2, 5, 4, 4, 4, 2, 2, 4, 2, 5, 4, 4, 4, 4, 4, 4, 4, 5, 2, 5, 2, 4)), .Names = c(yval, xval, gval, type, cr, p, grp), row.names = c(NA, -100L), class = data.frame) -- View this message in context: http://r.789695.n4.nabble.com/xyplot-does-not-plot-legends-with-relation-free-scales-tp4540782p4540857.html Sent from the R help mailing list archive at Nabble.com. __ 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.
Re: [R] xyplot() does not plot legends with relation=free scales
On Sun, Apr 8, 2012 at 3:42 AM, Kaveh Vakili kaveh.vak...@ulb.ac.be wrote: Hi all, I have this problem with lattice that xyplot() won't draw some of my axis labels if the type (i.e. the relation argument) of scales is set as free. For example, in the plot below, I would want it to also show: 1. the labels E1,...E6 below the 10th panel (i.e. 3rd row, 2 col)just as it is now done below the 12th panel You are setting your scales manually, so you need to make sure you don't have typos. Change the line lbl[[9]] - lbl[[12]]-c(E1,E2,E3,E4,E5,E6) to lbl[[10]] - lbl[[12]]-c(E1,E2,E3,E4,E5,E6) 2. as well as the labels (2,4,6,8) on the top of panels 1 and 3 (by on top, i mean above the strips, as xyplot normally does by default but can't seem to be willing to do in the example below). Same thing, I see the y axis labels for 1,3 but nothing for the at or labels for x-axis for [[1,3]]. Note also you need the appropriate tck argument for placing 'top-right' PS: i had originally posted this question on stackoverlow but since i didn't get an answer there i've deleted it there and posting it here. My guess is you didn't get an answer before because this is a reproducible example (thank you) but very involved. In the future try to reduce your code to the minimum which produces the problem behavior, you will often find that in the process of doing so you answer your own question... Hope this helped Elai Happy Easter, B-structure(list(yval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68, 6.77, 1.48, 7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48, 0.69, 4.81, 1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94, 0.47, 0.7, 0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4, 0.56, 7.07, 0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27, 1.85, 5.23, 0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42, 1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57, 0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23, 0.74, 2.21), xval = c(0.7, 0.61, 0.65, 0.63, 6.08, 0.64, 5.68, 6.77, 1.48, 7.71, 0.82, 1.15, 0.54, 1.01, 0.59, 4.84, 0.69, 0.71, 8.7, 0.48, 0.69, 4.81, 1.42, 1.19, 0.84, 4.89, 0.85, 0.67, 7.07, 0.66, 7.93, 0.69, 5.94, 0.47, 0.7, 0.73, 0.5, 3.62, 9.55, 4.48, 9.44, 1.06, 0.36, 0.73, 0.67, 1.4, 0.56, 7.07, 0.69, 0.42, 3.72, 0.8, 0.94, 0.66, 0.48, 6.94, 3.19, 0.84, 1.27, 1.85, 5.23, 0.75, 0.55, 4.69, 8.51, 3.98, 0.65, 4.72, 0.94, 0.86, 6.27, 3.42, ! 1.03, 1.83, 0.86, 8.59, 0.72, 7.92, 0.84, 0.49, 0.78, 7.31, 5.15, 0.88, 0.57, 0.95, 0.69, 8.77, 0.86, 0.82, 2.02, 6.99, 5.01, 0.84, 1.09, 1.02, 0.66, 9.23, 0.74, 2.21), gval = c(1, 3, 4, 4, 1, 5, 5, 4, 6, 4, 2, 6, 4, 3, 4, 4, 3, 5, 1, 5, 1, 5, 6, 6, 6, 1, 1, 1, 1, 5, 1, 3, 4, 5, 4, 3, 5, 1, 5, 4, 5, 6, 3, 4, 3, 6, 3, 1, 2, 1, 3, 2, 1, 3, 4, 5, 4, 6, 6, 6, 5, 2, 1, 4, 5, 5, 4, 1, 1, 1, 3, 2, 2, 6, 2, 3, 3, 4, 1, 3, 2, 1, 3, 6, 5, 2, 6, 4, 2, 2, 1, 1, 5, 2, 6, 6, 3, 1, 4, 3), type = structure(c(2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 3L, 1L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 3L, 2L), .Label = c(0, 1, 5), class = factor), cr = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L! , 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c(0.2, 0.3, 0.4), class = factor), p = structure(c(1L, 2L, 1L, 1L, 2L, 1L, 4L, 4L, 2L, 4L, 3L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 4L, 3L, 2L, 4L, 1L, 4L, 1L, 4L, 1L, 4L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 3L, 3L, 4L, 3L, 2L, 4L, 4L, 4L, 3L, 3L, 1L, 4L, 4L, 2L, 3L, 3L, 1L, 2L, 4L, 2L, 3L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 4L, 1L, 3L, 2L, 4L), .Label = c(4, 8, 12, 20), class = factor), grp = c(4, 2, 2, 2, 4, 2, 2, 4, 4, 4, 4, 5, 2, 4, 5, 2, 2, 4, 5, 5, 2, 4, 5, 4, 2, 4, 2, 2, 4, 5, 4, 5, 4, 2, 5, 4, 2, 4, 5, 2, 5, 4, 2, 4, 5, 5, 5, 4, 2, 4, 2, 2! , 5, 2, 4, 4, 4, 2, 5, 4, 4, 2, 5, 4, 5, 2, 2, 4, 2, 2, 4, 4, 4, 4, 4, 5, 2, 5, 2, 5, 4, 4, 4, 2, 2, 4, 2, 5, 4, 4, 4, 4, 4, 4, 4, 5, 2, 5, 2, 4)), .Names = c(yval, xval, gval, type, cr, p, grp), row.names = c(NA, -100L), class = data.frame) And the code: library(lattice) library(robustbase) library(latticeExtra) typis - c(A,B,C)
