it works. thanks a lot.
Gabor Grothendieck wrote:
try this. The first group of lines recreates your data frame, DF, and
the last line is the aggregate:
Input - DateTimez
2006-01-01 21:00 6,2
2006-01-01 22:00 5,7
2006-01-01 23:00 3,2
2006-01-02 00:00 7,8
2006-01-02 01:00 6,8
2006-01-02 02:00 5,6
2007-03-30 22:00 5,2
2007-03-30 23:00 8,3
2007-03-31 00:00 6,4
2007-03-31 01:00 7,4
DF - read.table(textConnection(Input), header = TRUE, as.is = TRUE)
DF$z - as.numeric(sub(,, ., DF$z))
DF$Date - as.Date(DF$Date)
aggregate(DF[z], list(yearmon = format(DF$Date, %Y-%m)), mean)
On 4/23/07, Michel Schnitz [EMAIL PROTECTED] wrote:
Hello,
is there a way to use the aggregate function to calculate monthly mean
in case i have one row in data frame that holds the date like
-mm-dd? i know that it works for daily means. i also like to do it
for monthly and yearly means. maybe there is something like aggregate(x,
list(Date[%m]), mean)?
the data frame looks like:
DateTimez
2006-01-01 21:00 6,2
2006-01-01 22:00 5,7
2006-01-01 23:00 3,2
2006-01-02 00:00 7,8
2006-01-02 01:00 6,8
2006-01-02 02:00 5,6
.
.
.
2007-03-30 22:00 5,2
2007-03-30 23:00 8,3
2007-03-31 00:00 6,4
2007-03-31 01:00 7,4
thanks for help!
--
Michél Schnitz
[EMAIL PROTECTED]
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--
Michél Schnitz
[EMAIL PROTECTED]
Scharrenstrasse 07
06108 Halle-Saale
phone: +0049-(0)345- 290 85 24
mobile:+0049-(0)176- 239 000 64
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
