Barplot with 3 categorical variable

plot, r

Solution

Similarly in `ggplot2`:

ggplot(data, aes(x=interaction(Cat, Comp), y=Count, fill=Type)) +   
  geom_bar(position='stack', stat='identity')

To group on an additional variable (or two) you can use `facet_wrap` or `facet_grid`.

ggplot(data, aes(x=Cat, y=Count, fill=Type)) +   
  geom_bar(position='stack', stat='identity') +
  facet_wrap( ~ Comp)

Problem

I have a data like this: ``` data <- data.frame(Comp = factor(rep(2003:2004, each = 8)), Cat = rep(letters[1:4], 4), Type = rep(c('Free','Used'), each = 4), Count = trunc(rnorm(16,30,2))) ``` And I need something like a `barplot` with `beside = TRUE` and `beside = FALSE` (`TRUE` for `Cat` and `Comp`, and `FALSE = Type`). With this data, it will result a plot with 8 columns (Interaction of `Comp` with `Cat` (`Comp = 2003 + Cat = A ; Comp = 2003 + Cat = B ; ... ; Comp = 2004 + Cat = D`)), each one with 2 stacked columns (the levels of `Type` (`Free` and `Used`)) for `Count` variable. Any tip how can I do this kind of plot? I tried to do an example in EXCEL, but I failed on it too.

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