Conditional density plot in lattice
On Thu, Jan 21, 2010 at 9:05 AM, Dieter Menne
<dieter.menne at menne-biomed.de> wrote:
Dear group, I want to create a plot similar to cdplot or cd_plot I vcd : http://addictedtor.free.fr/graphiques/graphcode.php?graph=120 with lattice and support for multiple panels. Densities should not be computed, these are stored in a data frame as in the example. My current workaround with barchart and ugly jags is given. Any better solution? Dieter library(lattice) n = 100 df1 = data.frame(x=0:n,y=((0:n)/n)^2,group="a",age="young") df2 = data.frame(x=0:n,y=1-df1$y,group="b",age="young") df3 = data.frame(x=0:n,y=((0:n)/n)^3,group="a",age="old") df4 = data.frame(x=0:n,y=1-df3$y,group="b",age="old") df = rbind(df1,df2,df3,df4) barchart(y~x|age,groups=group, data=df,horizontal=FALSE,stack=TRUE,box.width=1, ? lwd=0,lty=0, ylim=c(0,1),scales=list(x=list(at=seq(0,n,n/10)) ))
With a restructuring of the data:
df1 = data.frame(x=0:n, y1=((0:n)/n)^2, y2=1-((0:n)/n)^2, age="young")
df2 = data.frame(x=0:n, y1=((0:n)/n)^3, y2=1-((0:n)/n)^3, age="old")
df = rbind(df1, df2)
xyplot((y1+y2) + y1 ~ x | age, data=df, type = "l")
xyplot((y1+y2) + y1 ~ x | age, data=df, type = "l",
scales = list(axs = "i"),
panel = panel.superpose,
panel.groups = function(x, y, fill, ...) {
panel.polygon(c(min(x), x, max(x)), c(0, y, 0), fill = fill)
})
-Deepayan