It is easy to recover the date by using as.Date:
> dat <- matrix(seq(as.Date("2011-01-01"), as.Date("2011-01-09"), by="1 day"),
> 3)
> dat
[,1] [,2] [,3]
[1,] 14975 14978 14981
[2,] 14976 14979 14982
[3,] 14977 14980 14983
> str(dat)
num [1:3, 1:3] 14975 14976 14977 14978 14979 ...
> as.Date(dat)
[1] "2011-01-01" "2011-01-02" "2011-01-03" "2011-01-04" "2011-01-05"
"2011-01-06" "2011-01-07" "2011-01-08"
[9] "2011-01-09"
>
On Fri, Mar 11, 2011 at 4:15 PM, Bogaso Christofer
<bogaso.christo...@gmail.com> wrote:
> Dear all, when I put date objects (class of 'Date') in a matrix it becomes
> numeric:
>
>> dat <- matrix(seq(as.Date("2011-01-01"), as.Date("2011-01-09"), by="1
> day"), 3)
>
>> dat
>
> [,1] [,2] [,3]
>
> [1,] 14975 14978 14981
>
> [2,] 14976 14979 14982
>
> [3,] 14977 14980 14983
>
>> class(dat[1,1])
>
> [1] "numeric"
>
>
>
> As it could not preserve the 'Date' characteristics after putting my Date
> observations, I find it difficult to carry forward further calculation with
> Dates. Can somebody help me on how to preserve the Data properties while
> storing them within some matrix?
>
>
>
> Thanks
>
>
> [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
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