Hi Sarah,
Thanks for getting back to me.Here is an example of my data:SampleData <-
structure(list(id = 1:7, value = c(5813L, 8706L, 4049L, 5877L,
1375L, 2223L, 3423L), date = structure(c(4L, 3L,
2L, 1L, 7L,
6L, 5L), .Label = c("05/12/11", "06/05/11", "07-Dec-11",
"19-Dec-11", "01/22/2011", "10/19/2011", "31/12/2011"
), class = "factor")), .Names = c("id", "value", "date"), row.names = c(NA,
-7L),
class = "data.frame")SampleData
Thanks for your help:).
On Wednesday, July 29, 2015 1:50 PM, Sarah Goslee <sarah.gos...@gmail.com>
wrote:
On Wed, Jul 29, 2015 at 2:45 PM, farnoosh sheikhi via R-help
<r-help@r-project.org> wrote:
> Hi Arun,
> Hope all is well with you. I have a data with a column for date.The date
> format is mixed. There are date values with Month/Day/Year format and values
> with Day/Month/Year format.I don't know how to unify it.I really appreciate
> your help.Thanks.
You sent this to the R-help list, not just to Arun, so I'm assuming
this is an R question. The best way to get help is to provide a sample
of your data using dput() and to clearly specify what you would like
as the result - "unify" is a bit vague. paste(x, collapse="") could be
considered unification, after all.
Sarah
--
Sarah Goslee
http://www.functionaldiversity.org
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