Hi, I have a big database where one-third of the data is in a different date format than the rest. I'll add an example table to show you. | plot | observer | date | | 1 | K | 31012020 | | 2 | K | 07022020 | | 3 | B | 01282020 | | 4 | B | 01292020 | So I have two different date formats; the first is in d m y while the other one is in m d y. My question is how can I change all the date data into the same format? Preferably in dd/mm/yy. (31-01-2020) I know I could use: d$date <- as.Date(d$date, format = "%d%m%Y") d$date <- as.Date(d$date, format = "%m%d%Y") but I can only do one and then it doesn't work. Is there a way i can use the first line for the date of observer K and the other line for the date of observer B? Thanks [[alternative HTML version deleted]]
Hi, If the date format is determined by observer, you could for instance use subset to divide it into two data frames, fix the dates and recombine, or use ifelse to use the correct format based on observer. This is a basic data manipulation task, and there are lots of ways approach it. Sarah On Wed, Jan 20, 2021 at 1:32 PM krissievdh <krissievdh at gmail.com> wrote:> > Hi, > > I have a big database where one-third of the data is in a different date > format than the rest. I'll add an example table to show you. > > | plot | observer | date | > | 1 | K | 31012020 | > | 2 | K | 07022020 | > | 3 | B | 01282020 | > | 4 | B | 01292020 | > So I have two different date formats; the first is in d m y while the other > one is in m d y. > > My question is how can I change all the date data into the same format? > Preferably in dd/mm/yy. (31-01-2020) > I know I could use: > d$date <- as.Date(d$date, format = "%d%m%Y") > d$date <- as.Date(d$date, format = "%m%d%Y") > > but I can only do one and then it doesn't work. Is there a way i can use > the first line for the date of observer K and the other line for the date > of observer B? > > Thanks > > [[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.-- Sarah Goslee (she/her) http://www.numberwright.com
Perhaps
d$date <- as.Date(d$date, format = ifelse("K"==d$observer,
"%d%m%Y", "%m%d%Y" ))
On January 20, 2021 8:08:33 AM PST, krissievdh <krissievdh at gmail.com>
wrote:>Hi,
>
>I have a big database where one-third of the data is in a different
>date
>format than the rest. I'll add an example table to show you.
>
>| plot | observer | date |
>| 1 | K | 31012020 |
>| 2 | K | 07022020 |
>| 3 | B | 01282020 |
>| 4 | B | 01292020 |
>So I have two different date formats; the first is in d m y while the
>other
>one is in m d y.
>
>My question is how can I change all the date data into the same format?
>Preferably in dd/mm/yy. (31-01-2020)
>I know I could use:
>d$date <- as.Date(d$date, format = "%d%m%Y")
>d$date <- as.Date(d$date, format = "%m%d%Y")
>
>but I can only do one and then it doesn't work. Is there a way i can
>use
>the first line for the date of observer K and the other line for the
>date
>of observer B?
>
>Thanks
>
> [[alternative HTML version deleted]]
>
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
--
Sent from my phone. Please excuse my brevity.
Hi,
Internally, once you have a Date class object in R, the "printed"
output displayed will be the default, which I believe is influenced by your
locale. See ?format.Date.
That being said, in your example data below, 07022020, could be either July 2,
2020, or February 7, 2020. How do you know which one is correct, since both are
legal conversions?
Thus, you need some other flag value to determine which conversion is correct.
Can you use the observer values as a flag?
If so, then you can use a conditional statement (e.g. ?ifelse) to make the
conversion.
For example:
d$date <- ifelse(d$observer %in% c(vector, of, observers),
as.Date(d$date, format = "%d%m%Y"),
as.Date(d$date, format = "%m%d%Y"))
Also, you might not want to overwrite the original values, and create a new
column, in the case of errors.
Regards,
Marc Schwartz
> On Jan 20, 2021, at 11:08 AM, krissievdh <krissievdh at gmail.com>
wrote:
>
> Hi,
>
> I have a big database where one-third of the data is in a different date
> format than the rest. I'll add an example table to show you.
>
> | plot | observer | date |
> | 1 | K | 31012020 |
> | 2 | K | 07022020 |
> | 3 | B | 01282020 |
> | 4 | B | 01292020 |
> So I have two different date formats; the first is in d m y while the other
> one is in m d y.
>
> My question is how can I change all the date data into the same format?
> Preferably in dd/mm/yy. (31-01-2020)
> I know I could use:
> d$date <- as.Date(d$date, format = "%d%m%Y")
> d$date <- as.Date(d$date, format = "%m%d%Y")
>
> but I can only do one and then it doesn't work. Is there a way i can
use
> the first line for the date of observer K and the other line for the date
> of observer B?
>
> Thanks