Hi,
I have a dataframe containing data from individuals 1, ..., 12 (grouping
variable "g" in the data frame below), which belong either to "A" or "B"
(grouping variable "f"):
set.seed(1)
tmp <- data.frame(
y=c(rnorm(10,0,1),rnorm(10,4,2),rnorm(10,0,1),rnorm(10,4,2),rnorm(10,0,1),rnorm(10,4,2),rnorm(10,0,1),rnorm(10,4,2),rnorm(10,0,1),rnorm(10,4,2),rnorm(10,0,1),rnorm(10,4,2)),
x=1:10,
f=c(rep("A",10),rep("B",10),rep("A",10),rep("B",10),rep("A",10),rep("B",10),rep("A",10),rep("B",10),rep("A",10),rep("B",10),rep("A",10),rep("B",10)),
g=c(rep("3",10),rep("2",10),rep("1",10),rep("4",10),rep("5",10),rep("6",10),rep("8",10),rep("7",10),rep("9",10),rep("11",10),rep("12",10),rep("10",10)))
I would like to draw line plots using the function xyplot:
library(lattice)
xyplot(y ~ x | g , groups=g, data=tmp,type="l",
par.settings=list(superpose.line=list(col=c("red","blue"))),
auto.key=list(space="top",
text=levels(tmp$f),points=FALSE,lines=TRUE))
As it is, the colors are recycled alternately in the order the
individuals appear in the plot (1, 10, 11, 12, 2, ..., 9).
How can I assign the red color to all individuals of group "A" and the
blue color to all individuals of group "B"?
Thanks in advance!
Christof
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