CODEWITHSUNDEEP
rpanellattice
Bryan
Bryan

Reputation: 933

plot the maximum point of each group of panel data in lattice xyplot

This is similar to a previous post, but it is still making me scratch my head.

For each group, and for each panel, I would like to identify and plot the maximum y-value point over the original xy line plot. There may be a way to do this using tapply, but I haven't been able to find it. Here's my attempt and where I get stuck:

library(lattice)
foo <- data.frame(x=-100:100, y=sin(c(-100:100)*pi/4))
xyplot( y~x|y>0, foo, groups=cut(x,3),
    panel = function(x, y, groups, subscripts, ...) {
      panel.xyplot(x, y, subscripts=subscripts, type='l',groups=groups, ...)

      # get the index of the maximum y-value for each group
      max_ind <- tapply(y, groups[subscripts], function(x) { which(x==min(x))[1]} ) 

      # splits the data into groups
      x_g <- tapply(x, groups[subscripts], function(x){x})
      y_g <- tapply(y, groups[subscripts], function(x){x})

      # something goes here to extract the x- and y- values corresponding 
      # to the maximum index of each group
      #x_max = ??? 
      #y_max = ???

      panel.points(x_max, y_max, cex=2, pch=16,...)
    } )

Upvotes: 1

Views: 348

Answers (1)

jbaums
jbaums

Reputation: 27408

Here's one way to go about it, using panel.superpose and panel.groups:

xyplot(y ~ x | y > 0, foo, groups=cut(x, 3),
       panel = function(x, y, ...) {
         panel.superpose(x, y, pch=20, cex=1.5, ...,
                         panel.groups = function(x, y, col.symbol, ...) {
                           panel.lines(x, y, col=col.symbol)
                           panel.points(x[which.max(y)], max(y), 
                                        col.symbol=col.symbol, ...)
                         }
         )
       }
)

enter image description here

Upvotes: 1

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