The lubridate
package is another option. It handles most of the fussy formatting details, so it can be easier to use than base R
date functions. For example, in your case, mdy_hm
(month-day-year_hour-minute) will convert your date
and time
variables into a single POSIXct date-time column. (If you meant it to be day-month-year, rather than month-day-year, then just use dmy_hm
.) See code below.
library(lubridate)
dat$date_time = mdy_hm(paste(dat$date, dat$time))
dat
date time numbers date_time
1 01-02-2010 14:57 5 2010-01-02 14:57:00
2 01-02-2010 23:23 7 2010-01-02 23:23:00
3 02-02-2010 05:05 3 2010-02-02 05:05:00
4 02-02-2010 10:23 11 2010-02-02 10:23:00
library(ggplot2)
ggplot(dat, aes(date_time, numbers)) +
geom_point() + geom_line() +
scale_x_datetime(breaks=date_breaks("1 week"),
minor_breaks=date_breaks("1 day"))
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…