single strip for the same group in dotplot lattice

Hi Luigi,

I'm afraid I don't understand your toy data as you've described it, but if
you really don't have run 2 for target A, and don't have run 1 for target
B, why not just create another factor that reflects this, and plot that?

 my.data$clus2 <- with(my.data, interaction(cluster, target))

 and call: dotplot(value ~ type| clus2, ... )


Philip


On 22/02/2017 8:03 PM, Luigi Marongiu wrote:

dear all,
I have a set of data that is subdivided in cluster (run 1/run 2) and in
target (A/B). When plotting, I obtain a panel strip with "run 1" and "run
2" for each "A" and "B" panel, so "run 1" appears twice and so does "run
2". It is possible to merge the strip together so that I will have "run 1"
or "run 2" only once? this will reduce the complexity of the data and
allow
more space for more detailed information in the strip.
the data follows,
thank you
L

cluster<- c(rep("run_1", 6), rep("run_2", 6))
type<- rep(c("blank", "positive", "negative"),2)
target<- c(rep("A", 6), rep("B", 6))
value<- c(0.01, 1.1, 0.5,
            0.02, 1.6, 0.8,
            0.07, 1.4, 0.7,
            0.03, 1.4, 0.4)
my.data<- data.frame(cluster, type, target, value)

library(lattice)
dotplot(
   value ~ type|target + cluster,
   my.data,
   groups = type,
   pch=21,
   main = "Luminex analysis MTb humans",
   xlab = "Target", ylab = "Reading",
   col = c("grey", "green", "red"),
   par.settings = list(strip.background = list(col="paleturquoise")),
   scales = list(alternating = FALSE, x = list(labels = c("", "", ""))),
   key = list(
     space = "top",
     columns = 3,
     text = list(c("Blank", "Negative", "Positive"), col="black"),
     rectangles = list(col=c("grey", "green", "red"))
   )
)

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