cumulative plot using ggplot2

Question

I\'m learning to use ggplot2 and am looking for the smallest ggplot2 code that reproduces the base::plot result below. I\'ve tried a f

Answer 1

Try this:

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

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")

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

require(plyr)
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)).