Hello world,
I am actually transferring a course in data management for
students in biology, geography and agriculture
from statistica to R - it works
surprisingly well. If anyone is interested in my scratch/notepad
(in German language), please see
Hi Georg
If you know which value belongs to which year you can use
tapply, by, aggregate family like:
years-rep(c(2000,2001,2002,2003), each=10)
values-(1:40)
test-cbind(years,values)
test-data.frame(test)
aggregate(test$values,list(y=test$years),sum)
Cheers
Petr
On 10 Feb 2005 at 11:01,
Dimitris Rizopoulos [EMAIL PROTECTED] writes:
maybe something like this:
dat - data.frame(years=rep(1994:2004, each=10), x=rnorm(110),
(I thought they abolished the 10 month year after the failure of the
French revolution. :-) )
y=rnorm(110))
lapply(split(dat[,-1], dat$years), cumsum)
or
Georg Hoermann [mailto:[EMAIL PROTECTED] wrote:
www.hydrology.uni-kiel.de/~schorsch/statistik/erle_stat.csv ...
contains a 10 year dataset.
We often need cumulative *annual* sums (sunshine, precipitation), i.e.
the sum must reset to 0
at the beginning of the year. I know of cumsum(), but I do
Roger Bivand wrote:
On Thu, 10 Feb 2005, Georg Hoermann wrote:
Hello world,
based on the code of Roger I have now two solutions:
the first one (one line for the whole dataset)
- cut here --
erle -
read.csv(url(http://www.hydrology.uni-kiel.de/~schorsch/statistik/erle_stat.csv;))
jahre
