As a non-statistician, here is my naive method:
densityplot(~ value | cat1 * cat2, xx, groups = paste(variable, which),
from = 0, to = 360, bw = 100,
panel = function(x, ...) panel.densityplot(c(x-360,x,x+360), ...),
plot.points = FALSE, auto.key = list(columns=2),
par.settings = s
Thank you! Worked perfectly.
Is it also possible to do the same but for circular data, for example,
a density plot of circular object from the circular package using a
trellis display. I have the same set of data but var1 and var2 are
azimuth directions 0-360 so a standard density plot doesn't make
library(reshape) ## the easy way
xx <- melt(x)
head(xx)
densityplot(~ value | cat1 * cat2, xx, groups = paste(variable, which),
plot.points=FALSE, auto.key=list(columns=2),
par.settings = simpleTheme(col = c("red","blue"), lty=c(1,1,2,2)))
Hint: using multiple terms in t
Hi,
I have two data sets; one is a population and the other a sample of
that population. I am trying to plot both on the same trellis display.
# Example data set with two numerical attributes and two categorical
pop <- data.frame(var1=rnorm(2000, 2000, 500), var2=rnorm(2000, 2000, 500))
cat<-(run
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