Here is an example of plotting the number of observations per month.
You can change this to any period you want.
# create some test data
x.d <- as.Date("2000-1-1") + runif(1000, 1, 500)
# create buckets of one month (or whatever period you want)
x.cut <- cut(x.d, breaks=seq(as.Date('2000-1-1'), max(x.d)+7, by="1 month"))
# plot the data
barplot(table(x.cut), main="Observations Per Month")
On Dec 19, 2007 1:59 AM, gallon li <[EMAIL PROTECTED]> wrote:
> I have the following list of observations of calendar time:
>
> [1] 03-Nov-1997 09-Oct-1991 27-Aug-1992 01-Jul-1994 19-Jan-1990 12-Nov-1993
> [7] 08-Oct-1993 10-Nov-1982 08-Dec-1986 23-Dec-1987 02-Aug-1995 20-Oct-1998
> [13] 29-Apr-1991 16-Mar-1994 20-May-1991 28-Dec-1987 14-Jul-1999 27-Nov-1998
> [19] 09-Sep-1999 26-Aug-1999 20-Jun-1997 05-May-1995 26-Mar-1998 15-Aug-1994
> [25] 24-Jun-1996 02-Oct-1996 12-Aug-1985 24-Jun-1992 09-Jan-1991 04-Mar-1988
> 3230 Levels: 01-Apr-1987 01-Apr-1990 01-Apr-1991 01-Apr-1996 ... 31-Oct-1998
>
> I want to make a plot where x-axis is the calendar time and y-axix is the
> cumulative sum of observations observed on or before that dates.
>
> Can anyone give some suggestions?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
