how to make a cumulative layer plot in ggplot2

Question

I've got a data similar to example below:

library(dplyr)
nycflights13::flights %>% 
  mutate(date = as.Date(paste(day, month, year, sep = '-'), format = '%d-%m-%Y')) %>% 
  select(date, carrier, distance)

Now I need to build a plot with stacked sums of distance in each day, where subsequent layers would refer to different carriers. I mean something similar to

ggplot(diamonds, aes(x = price, fill = cut)) + geom_area(stat = "bin")

but with sum as a stat.

I have tried with

nycflights13::flights %>% 
  mutate(date = as.Date(paste(day, month, year, sep = '-'), format = '%d-%m-%Y')) %>% 
  select(date, carrier, distance) %>% 
  ggplot() + 
  geom_area(aes(date, distance, fill = carrier, group = carrier), stat = 'sum')

but it didn't do a trick, resulting in

Error in f(...) : Aesthetics can not vary with a ribbon

It's pretty easy with geom_bar, but any ideas how to make a stacked geom_area plot?

Kuba_ · Accepted Answer · 2018-08-09 06:55:18Z

3

library(dplyr)
nycflights13::flights %>% 
  mutate(date = as.Date(paste(day, month, year, sep = '-'), 
                        format = '%d-%m-%Y')) %>% 
  select(date, carrier, distance) %>% 
  group_by(date, carrier) %>% 
  summarise(distance = sum(distance)) %>% 
  ggplot() + 
  geom_area(aes(date, distance, fill = carrier, 
                group = carrier), stat = 'identity')

should do the trick.

edited Aug 9, 2018 at 6:55

answered Aug 8, 2018 at 14:15

Kuba_

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1 Comment

tjebo Over a year ago

That's nice. I would from my personal experience avoid direct piping into the ggplot call. Assign your changed data frame to a new object. This makes it easier later to use several data frames for several plots, which you will most certainly have.

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