aggregate.tis() in the fame package does what I think is the right thing:
x2 - tis(1:24, start = c(2000, 11), freq = 12)
y2 - aggregate(x2, nfreq = 4)
x2
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2000 1 2
2001 3 4 5 6 7 8 9
(moved from r-help)
Achim Zeileis wrote:
On Wed, 25 Jul 2007, laimonis wrote:
Consider the following scrap of code:
...slightly modified to
x1 - ts(1:24, start = c(2000, 10), freq = 12)
x2 - ts(1:24, start = c(2000, 11), freq = 12)
and then
y1 - aggregate(x1, nfreq = 4)
gives
On 7/25/07, Paul Gilbert [EMAIL PROTECTED] wrote:
(moved from r-help)
Achim Zeileis wrote:
On Wed, 25 Jul 2007, laimonis wrote:
Consider the following scrap of code:
...slightly modified to
x1 - ts(1:24, start = c(2000, 10), freq = 12)
x2 - ts(1:24, start = c(2000, 11),
Paul,
thanks for the feedback. Concerning the zoo side:
Currently, the zoo implementation allows this: Coercing back and forth
gives:
library(zoo)
z1 - as.ts(aggregate(as.zoo(x1), as.yearqtr, sum))
z2 - as.ts(aggregate(as.zoo(x2), as.yearqtr, sum))
This is better, but still
