eddi eddi - 1 year ago 101
R Question

cumulative plot using ggplot2

I'm learning to use

and am looking for the smallest
code that reproduces the
result below. I've tried a few things and they all ended up being horrendously long, so I'm looking for the smallest expression and ideally would like to have the dates on the x-axis (which are not there in the

df = data.frame(date = c(20121201, 20121220, 20130101, 20130115, 20130201),
val = c(10, 5, 8, 20, 4))
plot(cumsum(rowsum(df$val, df$date)), type = "l")

Answer Source

Try this:

ggplot(df, aes(x=1:5, y=cumsum(val))) + geom_line() + geom_point()

enter image description here

Just remove geom_point() if you don't want it.

Edit: Since you require to plot the data as such with x labels are dates, you can plot with x=1:5 and use scale_x_discrete to set labels a new data.frame. Taking df:

ggplot(data = df, aes(x = 1:5, y = cumsum(val))) + geom_line() + 
        geom_point() + theme(axis.text.x = element_text(angle=90, hjust = 1)) + 
        scale_x_discrete(labels = df$date) + xlab("Date")

enter image description here

Since you say you'll have more than 1 val for "date", you can aggregate them first using plyr, for example.

dd <- ddply(df, .(date), summarise, val = sum(val))

Then you can proceed with the same command by replacing x = 1:5 with x = seq_len(nrow(dd)).

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