position_stack {ggplot2} | R Documentation |
Stack overlapping objects on top of one another.
position_stack(width = NULL, height = NULL)
width |
Manually specify width (does not affect all position adjustments) |
height |
Manually specify height (does not affect all position adjustments) |
Other position adjustments: position_dodge
,
position_fill
,
position_identity
,
position_jitter
# Stacking is the default behaviour for most area plots: ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() # To change stacking order, use factor() to change order of levels mtcars$vs <- factor(mtcars$vs, levels = c(1,0)) ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() ggplot(diamonds, aes(price)) + geom_histogram(binwidth=500) ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth=500) # Stacking is also useful for time series data.set <- data.frame( Time = c(rep(1, 4),rep(2, 4), rep(3, 4), rep(4, 4)), Type = rep(c('a', 'b', 'c', 'd'), 4), Value = rpois(16, 10) ) qplot(Time, Value, data = data.set, fill = Type, geom = "area") # If you want to stack lines, you need to say so: qplot(Time, Value, data = data.set, colour = Type, geom = "line") qplot(Time, Value, data = data.set, colour = Type, geom = "line", position = "stack") # But realise that this makes it *much* harder to compare individual # trends