There are various ways to plot data that is represented by a time series in R. The ggplot2 package has scales that can handle dates reasonably easily.
Fast Tube by Casper
As an example consider a data set on the number of views of the you tube channel ramstatvid. A short snippet of the data is shown here:
> head(yt.views) Date Views 1 2010-05-17 13 2 2010-05-18 11 3 2010-05-19 4 4 2010-05-20 2 5 2010-05-21 23 6 2010-05-22 26
The ggplot function is used by specifying a data frame and the aes maps the Date to the x-axis and the number of Views to the y-axis.
ggplot(yt.views, aes(Date, Views)) + geom_line() + scale_x_date(format = "%b-%Y") + xlab("") + ylab("Daily Views")
The axis labels for the Date variable are created with the scale_x_date function where the format is specified as a Month/Year combination with the %b and %Y formatting strings. The graph that is produced is shown here:
Other useful resources are provided on the Supplementary Material page.