I have a \"monthly data\" I want to plot the data such that I get a date in the format %Y-%m\" (2001-01)
on the x-axis. Say my data is pcp <- rnorm(24
The best way is to use axis.POSIXct {graphics}
Here the example from the help of this function:
with(beaver1, {
time <- strptime(paste(1990, day, time %/% 100, time %% 100),
"%Y %j %H %M")
plot(time, temp, type = "l") # axis at 4-hour intervals.
# now label every hour on the time axis
plot(time, temp, type = "l", xaxt = "n")
r <- as.POSIXct(round(range(time), "hours"))
axis.POSIXct(1, at = seq(r[1], r[2], by = "hour"), format = "%H")
})
in your case change the format to format="%Y-%m"
Regards,
Here's an idea with toy data since the question is not reproducible. Hopefully it helps
R> foo = ts(rnorm(36), frequency = 12, start = 2001)
R> plot(foo, xaxt = "n")
R> tsp = attributes(foo)$tsp
R> dates = seq(as.Date("2001-01-01"), by = "month", along = foo)
R> axis(1, at = seq(tsp[1], tsp[2], along = foo), labels = format(dates, "%Y-%m"))
ggplot version with data that looks like yours
R> df = data.frame(date = seq(as.POSIXct("2001-01-01"), by = "month", length.out = 36), pcp = rnorm(36))
R> library(ggplot2)
R> library(scales)
R> p = ggplot(data = df, aes(x = date, y = pcp)) + geom_line()
R> p + scale_x_datetime(labels = date_format("%Y-%m"), breaks = date_breaks("months")) + theme(axis.text.x = element_text(angle = 45))
I find that the excellent xts
package is the best way to store your data. If you've not got it, you can download with install.packages('xts')
.
Let's start from basics -- including making pcp
, as you've not supplied it.
require(xts)
pcp <- rnorm(24)
PCP <- ts(pcp, frequency = 12, start = 2001)
plot(as.xts(PCP), major.format = "%Y-%m")
This gives you a chart something like the following. You can tweak the dates by altering the string passed to major.format
. For example, "%b-%y"
yields dates in the Jan-01
format for Jan 2001.