[R] about data format in R

[Bert Gunter]

?substring

(among others)

-- Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, Dec 31, 2016 at 9:26 AM, lily li <chocold12 at gmail.com> wrote:
> Hi all,
>
> Thanks for your help. Now I can convert data to the format "yyyy-mm-dd
> hh:mm:ss", but how to convert it to "yyyy-mm-dd"? The datasets are txt
> files, not from excel.
>
> On Fri, Dec 30, 2016 at 3:01 PM, Duncan Mackay <dulcalma at bigpond.com> wrote:
>
>> Hi
>>
>> Is this the output from Excel?
>> If so format it in Excel for a date format not a date-time format .
>> Depending how the dates were inputted into Excel and the Excel setup a date
>> may not be a date format.
>> There are no rules with microsoft formatting so beware!
>>
>>
>> Regards
>>
>> Duncan
>>
>> Duncan Mackay
>> Department of Agronomy and Soil Science
>> University of New England
>> Armidale NSW 2351
>> Email: home: mackay at northnet.com.au
>>
>> -----Original Message-----
>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of lily li
>> Sent: Saturday, 31 December 2016 05:38
>> To: Rui Barradas
>> Cc: R mailing list
>> Subject: Re: [R] about data format in R
>>
>> Hi Rui,
>>
>> Thanks for your reply. When I read in data using my code, the first column
>> ranges from 0 to 1. So when I use the code you wrote, it shows the error
>> message:
>> Error in as.POSIXct.numeric(DF$Date, format = "%m/%d/%Y-%H:%M:%S") :
>> 'origin' must be supplied
>>
>>
>> On Fri, Dec 30, 2016 at 11:23 AM, Rui Barradas <ruipbarradas at sapo.pt>
>> wrote:
>>
>> > Hello,
>> >
>> > Have you tried
>> >
>> > df$date <- as.POSIXct(dat$date, format = "%m/%d/%Y-%H:%M:%S")
>> >
>> > ?
>> >
>> > Hope this helps,
>> >
>> > Rui Barradas
>> >
>> >
>> >
>> > Em 30-12-2016 17:40, lily li escreveu:
>> >
>> >> Hi R users,
>> >>
>> >> I'm trying to read in data, and then plot time series data. However, I
>> >> have
>> >> some problems. In my dataset, the first column represents time, and in
>> the
>> >> format:
>> >> mm/dd/yyyy-hr:min:sec; For example, 10/01/1995-00:00:00,
>> >> 10/01/1995-06:00:00, etc.
>> >>
>> >> df:
>> >>             date                    evap     precip    intercept
>> >> 10/01/1995-00:00:00       1.5          2            0.2
>> >> 10/01/1995-12:00:00       1.7          2.2         0.1
>> >> 10/02/1995-00:00:00       1.5          1.8         0.3
>> >> ...
>> >>
>> >> My code is like this
>> >> file1 = read.table('df', head=T)
>> >>
>> >> When I read in data, I found that it read incorrectly. How to format
>> when
>> >> read in data? Thanks.
>> >>
>> >>         [[alternative HTML version deleted]]
>> >>
>> >> ______________________________________________
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>> >> https://stat.ethz.ch/mailman/listinfo/r-help
>> >> PLEASE do read the posting guide http://www.R-project.org/posti
>> >> ng-guide.html
>> >> and provide commented, minimal, self-contained, reproducible code.
>> >>
>> >>
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.