# position_stack

0th

Percentile

##### Stack overlapping objects on top of each another

position_stack() stacks bars on top of each other; position_fill() stacks bars and standardises each stack to have constant height.

##### Usage
position_stack(vjust = 1, reverse = FALSE)
position_fill(vjust = 1, reverse = FALSE)
##### Arguments
vjust
Vertical adjustment for geoms that have a position (like points or lines), not a dimension (like bars or areas). Set to 0 to align with the bottom, 0.5 for the middle, and 1 (the default) for the top.
reverse
If TRUE, will reverse the default stacking order. This is useful if you're rotating both the plot and legend.
##### Details

position_fill() and position_stack() automatically stack values in reverse order of the group aesthetic, which for bar charts is usually defined by the fill aesthetic (the default group aesthetic is formed by the combination of all discrete aesthetics except for x and y). This default ensures that bar colours align with the default legend.

There are three ways to override the defaults depending on what you want:

1. Change the order of the levels in the underyling factor. This will change the stacking order, and the order of keys in the legend.

• Set the legend breaks to change the order of the keys without affecting the stacking.
• Manually set the group aesthetic to change the stacking order without affecting the legend.
• Stacking of positive and negative values are performed separately so that positive values stack upwards from the x-axis and negative values stack downward.

See geom_bar and geom_area for more examples.

Other position adjustments: position_dodge, position_identity, position_jitterdodge, position_jitter, position_nudge

##### Aliases
• position_stack
• position_fill
##### Examples
library(ggplot2) # Stacking and filling ------------------------------------------------------ # Stacking is the default behaviour for most area plots. # Fill makes it easier to compare proportions ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar(position = "fill") ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth = 500) ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth = 500, position = "fill") # Stacking is also useful for time series series <- 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(series, aes(time, value)) + geom_area(aes(fill = type)) # Stacking order ------------------------------------------------------------ # You control the stacking order by setting the levels of the underlying # factor. See the forcats package for convenient helpers. series$type2 <- factor(series$type, levels = c('c', 'b', 'd', 'a')) ggplot(series, aes(time, value)) + geom_area(aes(fill = type2)) # You can change the order of the levels in the legend using the scale ggplot(series, aes(time, value)) + geom_area(aes(fill = type)) + scale_fill_discrete(breaks = c('a', 'b', 'c', 'd')) # Non-area plots ------------------------------------------------------------ # When stacking across multiple layers it's a good idea to always set # the group aethetic in the ggplot() call. This ensures that all layers # are stacked in the same way. ggplot(series, aes(time, value, group = type)) + geom_line(aes(colour = type), position = "stack") + geom_point(aes(colour = type), position = "stack") ggplot(series, aes(time, value, group = type)) + geom_area(aes(fill = type)) + geom_line(aes(group = type), position = "stack") # You can also stack labels, but the default position is suboptimal. ggplot(series, aes(time, value, group = type)) + geom_area(aes(fill = type)) + geom_text(aes(label = type), position = "stack") # You can override this with the vjust parameter. A vjust of 0.5 # will center the labels inside the corresponding area ggplot(series, aes(time, value, group = type)) + geom_area(aes(fill = type)) + geom_text(aes(label = type), position = position_stack(vjust = 0.5)) # Negative values ----------------------------------------------------------- df <- tibble::tribble( ~x, ~y, ~grp, "a", 1, "x", "a", 2, "y", "b", 1, "x", "b", 3, "y", "b", -1, "y" ) ggplot(data = df, aes(x, y, group = grp)) + geom_col(aes(fill = grp), position = position_stack(reverse = TRUE)) + geom_hline(yintercept = 0) ggplot(data = df, aes(x, y, group = grp)) + geom_col(aes(fill = grp)) + geom_hline(yintercept = 0) + geom_text(aes(label = grp), position = position_stack(vjust = 0.5)) 
Documentation reproduced from package ggplot2, version 2.2.1, License: GPL-2 | file LICENSE

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