OK, I did it , but it required a minor hack to panel.violin, since in its native state panel.violin only passes a single vector the the grid plotting functions.

On Mar 25, 2011, at 6:29 AM, JP wrote:

Hi there David,

Many thanks for your time and reply

I created a small test set, and ran your proposed solution... and this is what I get http://i.imgur.com/vlsSQ.png This is not what I want - I want separate grp_1 and grp_2 panels and in each panel a red violin plot and a blue one. So like this --> http://i.imgur.com/NnsE0.png but with red for condition_a and blue for condition_b. You would think that something like this is trivial to achieve... I just spent a whole day on this :(( Maybe I am just thick

I included the test data I am using:

# some dummy data
p <- rep(c(rep("condition_a", 4), rep("condition_b", 4)), 2)
q <- c(rep("grp_1", 8), rep("grp_2", 8))
r <- rnorm(16)
test_data <- data.frame(p, q, r)


Way down at the end I anded an index to the color argument to gp()

 panel.violin.hack <-
function (x, y, box.ratio = 1, box.width = box.ratio/(1 + box.ratio),
horizontal = TRUE, alpha = plot.polygon$alpha, border = plot.polygon$border, lty = plot.polygon$lty, lwd = plot.polygon$lwd, col = plot.polygon $col,
    varwidth = FALSE, bw = NULL, adjust = NULL, kernel = NULL,
    window = NULL, width = NULL, n = 50, from = NULL, to = NULL,
    cut = NULL, na.rm = TRUE, ...)
{
    if (all(is.na(x) | is.na(y)))
        return()
    x <- as.numeric(x)
    y <- as.numeric(y)
    plot.polygon <- trellis.par.get("plot.polygon")
    darg <- list()
    darg$bw <- bw
    darg$adjust <- adjust
    darg$kernel <- kernel
    darg$window <- window
    darg$width <- width
    darg$n <- n
    darg$from <- from
    darg$to <- to
    darg$cut <- cut
    darg$na.rm <- na.rm
    my.density <- function(x) {
        ans <- try(do.call("density", c(list(x = x), darg)),
            silent = TRUE)
        if (inherits(ans, "try-error"))
            list(x = rep(x[1], 3), y = c(0, 1, 0))
        else ans
    }
    numeric.list <- if (horizontal)
        split(x, factor(y))
    else split(y, factor(x))
    levels.fos <- as.numeric(names(numeric.list))
    d.list <- lapply(numeric.list, my.density)
    dx.list <- lapply(d.list, "[[", "x")
    dy.list <- lapply(d.list, "[[", "y")
    max.d <- sapply(dy.list, max)
    if (varwidth)
        max.d[] <- max(max.d)
    xscale <- current.panel.limits()$xlim
    yscale <- current.panel.limits()$ylim
    height <- box.width
    if (horizontal) {
        for (i in seq_along(levels.fos)) {
            if (is.finite(max.d[i])) {
                pushViewport(viewport(y = unit(levels.fos[i],
                  "native"), height = unit(height, "native"),
                  yscale = c(max.d[i] * c(-1, 1)), xscale = xscale))
                grid.polygon(x = c(dx.list[[i]], rev(dx.list[[i]])),
y = c(dy.list[[i]], -rev(dy.list[[i]])), default.units = "native",
# this is the point at which the index is added
                  gp = gpar(fill = col[i], col = border, lty = lty,
                    lwd = lwd, alpha = alpha))
                popViewport()
            }
        }
    }
    else {
        for (i in seq_along(levels.fos)) {
            if (is.finite(max.d[i])) {
                pushViewport(viewport(x = unit(levels.fos[i],
                  "native"), width = unit(height, "native"),
                  xscale = c(max.d[i] * c(-1, 1)), yscale = yscale))
                grid.polygon(y = c(dx.list[[i]], rev(dx.list[[i]])),
x = c(dy.list[[i]], -rev(dy.list[[i]])), default.units = "native",
# this is the point at which the index is added
                  gp = gpar(fill = col[i], col = border, lty = lty,
                    lwd = lwd, alpha = alpha))
                popViewport()
            }
        }
    }
    invisible()
}


# Now set the color vector for plot.polygon
 polyset <- trellis.par.get("plot.polygon")
 polyset$col <-  c("red","blue")
  trellis.par.set("plot.polygon", polyset)
 bwplot(r ~ p | q,
                data=test_data,
                panel = function(x,y, subscripts,   ..., box.ratio){            
panel.violin.hack(x,y, ..., cut = 1, varwidth = FALSE, box.ratio = box.ratio)
        panel.bwplot(x,y, ...,  box.ratio = .1)         },
                par.settings = list(plot.symbol = list(pch = 21, col = "gray"),
box.rectangle = list(col = "black"), # not sure these are working properly
                                box.umbrella = list(col = "black"))
                )

# Voila!



# your solution
bwplot(r ~ p,
           groups = q,
           data=test_data,
           col = c("red", "blue"),
           panel=panel.superpose,
           panel.groups = function(..., box.ratio){
panel.violin(..., cut = 1, varwidth = FALSE, box.ratio = box.ratio)
                        panel.bwplot(...,  box.ratio = .1)                      
                },
                par.settings = list(plot.symbol = list(pch = 21, col = "gray"),
box.rectangle = list(col = "black"), # not sure these are working properly
                                                        box.umbrella = list(col = 
"black"))
)
# my non working one for completeness

bwplot(r ~ p | q,
                data=test_data,
                col = c("red", "blue"),
                panel = function(..., box.ratio){
panel.violin(..., cut = 1, varwidth = FALSE, box.ratio = box.ratio)
                        panel.bwplot(...,  box.ratio = .1)                      
                },
                par.settings = list(plot.symbol = list(pch = 21, col = "gray"),
box.rectangle = list(col = "black"), # not sure these are working properly
                                box.umbrella = list(col = "black"))
)


On 24 March 2011 21:59, David Winsemius <dwinsem...@comcast.net> wrote:

On Mar 24, 2011, at 1:37 PM, JP wrote:

Using Trellis, am successfully setting up a number of panels (25) in which I
have two box and violin plots.

I would like to colour - one plot as RED and the other as BLUE (in each panel). I can do that with the box plots, but the violin density areas just
take on one colour.

My basic call is as follows:


I took the suggestion of Sarkar's:
http://finzi.psych.upenn.edu/Rhelp10/2010-April/234191.html

Identified with a search on: " panel.violin color"

.... a bit of trial and error with a re-worked copy of the `singer` data.frame meant I encountered errors and needed to throw out some of your pch arguments, and suggest this reworking of your code:


bwplot(rmsd ~ file , groups= code,
  data=spread_data.filtered, col = c("red", "blue"),
   panel=panel.superpose,
    panel.groups = function(..., box.ratio){
      panel.violin(...,  cut = 1, varwidth = FALSE,
                      box.ratio = box.ratio)
      panel.bwplot(...,  box.ratio = .1)

      },
  par.settings = list(plot.symbol = list(pch = 21, col = "gray"),
box.rectangle = list(col = "black"), # not sure these are working properly

  box.umbrella = list(col = "black"))
)

Obviously it cannot be tested without some data, but I did get alternating colors to the violin plots. There is an modifyList functionthat you might want to look up in the archives for changing par.settings:

http://search.r-project.org/cgi-bin/namazu.cgi?query=par.settings+modifyList&max=100&result=normal&sort=score&idxname=functions&idxname=Rhelp08&idxname=Rhelp10&idxname=Rhelp02


--

David Winsemius, MD
West Hartford, CT

David Winsemius, MD
West Hartford, CT

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