I understand. Thanks. My NA rows are to follow the end of the shorter matrix,
to make the two matrices same depth (number of rows), as in Garbor’s
demonstration:
[,1] [,2] [,3] [,4]
[1,] 1 7 5 9
[2,] 2 8 6 10
[3,] 3 9 7 11
[4,] 4 10 8 12
[5,] 5 11 NA NA
Steven from iPhone
> On Jun 30, 2025, at 2:36 AM, Gabor Grothendieck <ggrothendi...@gmail.com>
> wrote:
>
> You don't have to arrange that the shorter one comes second. The
> cbind.ts approach works whether the shorter one is first or second.
>
>> On Sun, Jun 29, 2025 at 12:14 PM Steven Yen <st...@ntu.edu.tw> wrote:
>>
>> Thanks to all. In my application I can always arrange to have the shorter
>> matrix come second which is to be filled with NA. I Will try the ts
>> approach. Words work less effectively for me. This could have work if plain
>> R can be more accommodating in cbind. Thanks.
>>
>> Steven from iPhone
>>
>>>> On Jun 29, 2025, at 11:03 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us>
>>>> wrote:
>>>
>>> This capability that ts objects have seems ill-advised. There is always a
>>> meaning associated with which row and column a matrix has, and this assumes
>>> that the shorter dimension is associated with times corresponding to the
>>> first rows of the longer matrix. In general you don't know whether the NAs
>>> should be at the beginning or whether there are missing rows in the middle,
>>> or even whether the time intervals don't overlap at all or are on different
>>> intervals. IMO there should be a separate step required before cbind that
>>> resolves these questions and appropriately extends the dimension rather
>>> than embedding this particular resolution approach into the cbind function.
>>> It could be as simple as an "extend Rows" function... as long as it is
>>> explicit in the calling code where this strategy can more easily be
>>> identified, debated, and fixed.
>>>
>>>> On June 29, 2025 4:56:23 AM PDT, Gabor Grothendieck
>>>> <ggrothendi...@gmail.com> wrote:
>>>> cbind does work on differently shaped ts objects so:
>>>>
>>>> a <- matrix(1:12,nrow=6)
>>>> b <- matrix(5:12,nrow=4)
>>>>
>>>> tmp <- cbind(ts(a), ts(b))
>>>> array(tmp, dim(tmp))
>>>>
>>>> giving
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