gt; project.org] On Behalf Of David L Carlson
> Sent: Tuesday, September 30, 2014 10:43 PM
> To: tandi perkins; r-help@r-project.org
> Subject: Re: [R] Converting factor data into Date-time format
>
> First, use stringsAsFactors=FALSE with the read.csv() function. That
> will prevent
First, use stringsAsFactors=FALSE with the read.csv() function. That will
prevent the conversion to factors. Then try to convert date and time to
datetime objects.
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-435
No problem.
A pro-tip for future posts: the dput() function creates a plain text
representation of the data in question which is great for email and is
nicely copy-and-pasteable. It wasn't so much a thing here, but for
large or complicated data sets, the regular console printout doesn't
always rev
Just a little typo: see below.
On Tue, Mar 13, 2012 at 1:00 PM, Haojie Yan wrote:
> Dear Michael,
>
> Thanks a lot for your hints.
>
> I have just had a try as below but still got back some error messages as
> shown:
>
> The object containing the 'date_time' data is named 'INTERVAL_END_TIME' and
On Tue, Mar 13, 2012 at 12:20 PM, Haojie Yan wrote:
> Dear R-user,
>
> I have read a dataset from .csv file into R. This dataset includes one
> column containing some data in 'date and time' format, e.g. 'dd/mm/
> hh:mm'.
>
> These data were automatically read and saved as 'factor' in R. When
This is just a little comment to supplement Michael's excellent
solution. If there are even a few (e.g., 5 each) repeated values,
this:
as.POSIXct(as.character(levels(x)), format = "%d/%m/%Y %H:%M")[x]
will be substantially faster, with the speed gains strongly associated
with the number of repl
as.POSIXct(as.character(FACTORHERE), format = "%d/%m/%Y %H:%M")
Michael
On Tue, Mar 13, 2012 at 12:20 PM, Haojie Yan wrote:
> Dear R-user,
>
> I have read a dataset from .csv file into R. This dataset includes one
> column containing some data in 'date and time' format, e.g. 'dd/mm/
> hh:mm'
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