Stack overlapping objects on top of one another.

Usage

position_fill()
position_stack()

Description

position_fill additionally standardises each stack to have unit height.

Examples

# Stacking is the default behaviour for most area plots: ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar()

# Fill makes it easier to compare proportions ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar(position = "fill")

# 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, fill = cut)) + geom_histogram(binwidth = 500)

# When used with a histogram, position_fill creates a conditional density # estimate ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth = 500, position = "fill")

# 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) ) ggplot(data.set, aes(Time, Value)) + geom_area(aes(fill = Type))

# If you want to stack lines, you need to say so: ggplot(data.set, aes(Time, Value)) + geom_line(aes(colour = Type))

ggplot(data.set, aes(Time, Value)) + geom_line(position = "stack", aes(colour = Type))

# But realise that this makes it *much* harder to compare individual # trends

See also

See geom_bar and geom_area for more examples. Other position adjustments: position_dodge, position_identity, position_jitterdodge, position_jitter, position_nudge