M
> > To: r-help@r-project.org
> > Subject: [R] Date handling in R is hard to understand
> >
> > Dear All,
> >
> > I usually work with time series data. The data may come in AM/PM date
> > format or on 24 hour time basis. R can not recognize the two
> >
Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Alemu Tadesse
> Sent: Friday, November 08, 2013 8:41 PM
> To: r-help@r-project.org
> Subject: [R] Date handling in R is hard to understand
>
> Dear
I agree w/ lubridate.I also would like to mention that "date handling"
is amazingly difficult in ALL computer languages, not just R. Take a stroll
through sites like thedailywtf.com to see how quickly people get into
tarpits full of thorns when trying to deal with leap years, weeks vs month
Hi Mihretu,
Can you grep for "AM" or "PM"? If so build your format string depending
upon whether one of these exists in the date string.
Jim
On 11/09/2013 06:41 AM, Alemu Tadesse wrote:
Dear All,
I usually work with time series data. The data may come in AM/PM date
format or on 24 hour time
Have a look at the "lubridate" package. It claims to try to make
dealing with dates easier.
-- Bert
On Fri, Nov 8, 2013 at 11:41 AM, Alemu Tadesse wrote:
> Dear All,
>
> I usually work with time series data. The data may come in AM/PM date
> format or on 24 hour time basis. R can not recognize
Dear All,
I usually work with time series data. The data may come in AM/PM date
format or on 24 hour time basis. R can not recognize the two differences
automatically - at least for me. I have to specifically tell R in which
time format the data is. It seems that Pandas knows how to handle date
wi
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