Reputation: 3656
I have a multivariate time series and would like to get a stacked area plot. How can this be done using ggplot2
?
The data could look likes this:
dates = as.Date(c("2015-04-07","2015-04-08","2015-04-09"))
stocks = xts(c(0.4,0.7,0.9),order.by = dates)
dates = as.Date(c("2015-04-07","2015-04-08","2015-04-09","2015-04-10"))
bonds = xts(c(0.6,0.3,0.1,1),order.by = dates)
example.data = merge(stocks,bonds)
I am quite new to ggplot. The data above is in long format. I have seen examples for wide format. How can I use the index of data for the x-axis without chaanging the data structure?
Upvotes: 0
Views: 1000
Reputation: 9618
Without changing the structure of the data, you could try the following:
qplot(rep(index(example.data),2), c(coredata(example.data$stocks),
coredata(example.data$bonds)), geom = "blank") +
geom_area(aes(colour = rep(c("stocks", "bonds"), each = 4),
fill = rep(c("stocks", "bonds"),each = 4)))
Which gives:
Or using the melt
from reshape2
:
library(reshape2)
df <- data.frame(time = index(example.data), melt(as.data.frame(example.data)))
ggplot(df, aes(x = time, y = value)) +
geom_area(aes(colour = variable, fill = variable))
Upvotes: 1