some_df[1, ] is actually a data frame: see ?"[.data.frame". It's hard to
see what else it could be, as columns of a data frame are of arbitrary
classes.
When you apply matrix() to a data frame it gets dropped to a list.
On Sat, 4 Jun 2005, Andy Bunn wrote:
Adam:
Providing a reproducible example would be a first step...
That's the problem, I can't. But I str has come to the rescue:
R > str(rw)
Time-Series [1:307] from 1690 to 1996: 0.986 1.347 1.502 1.594 1.475 ...
R > str(pg)
List of 264
$ : num 0.227
$ : num 0.189
$ : num 0.237
$ : num 0.235
.
.
.
.
- attr(*, "dim")= int [1:2] 22 12
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:12] "Series 1" "Series 2" "Series 3" "Series 4" ...
- attr(*, "tsp")= num [1:3] 1982 2003 1
- attr(*, "class")= chr [1:2] "mts" "ts"
Why is pg a list? pg was created by taking a row out of a much larger
data.frame:
R > pg <- ts(matrix(monthly.pg[1,-c(1:4)], ncol = 12, byrow = T), start =
1982)
R > class(pg)
[1] "mts" "ts"
R > mode(pg)
[1] "list"
So, changing the mode to numeric, allowed me to intersect the ts:
R > pg <- ts(matrix(as.numeric(monthly.pg[1,-c(1:4)]), ncol = 12, byrow =
T), start = 1982)
R > tsp(ts.intersect(rw, pg))
[1] 1982 1996 1
Weird. I suppose keeping on top of every object's mode is important.
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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