Absolutely correct ! I checked in Excel and when I change the format to
"text", then I get in Excel the same fractional numbers as those
obtained importing text from R... Hence the issue comes from Excel
itself. Will find a way to change this format to text in Excel without
avoiding such conversion...
Thanks Andrew !
Le 01/04/2022 ? 08:26, Andrew Simmons a ?crit?:> Probably (but not entirely sure), Excel is storing your text as a
> number of days, so 13:38 is a little more than half a day. Open your
> spreadsheet in excel and save those columns as text instead of times,
> that (should) fix your issue.
>
> On Fri, Apr 1, 2022, 02:12 Patrick Giraudoux
> <patrick.giraudoux at univ-fcomte.fr> wrote:
>
> I have a unexpected behaviour reading times with colon from an Excel
> file, using the package readxl.
>
> In an Excel sheet, I have a column with times in hours:minutes, e.g:
>
> Arrival_time
> 13:39
> 13:51
>
> When read from R with readxl::read_excel, this gives a tibble column
> with full date by defaut being the last day of 1899. OK. Why not,
> I know
> that POSIX variables are starting in 1900 after R doc (however I
> wonder
> why here the defaut is one day before January 1, 1900
>
> > tmp$Arrival_time? [1] "1899-12-31 13:39:00 UTC"
"1899-12-31
> 13:51:00 UTC"
>
> Well, this is not exactly what I want to. I do not care about the
> year
> and the day... Therefore I decided to import this column as
"text"
> explicitely (in order to manage it within R then). And this is what I
> get now:
>
> >
>
read_excel("saisie_data_durban_rapaces_LPO.xlsx",sheet=2,col_types="text")
> > tmp$Arrival_time [1] "0.56875000000000009"
"0.57708333333333328"
>
> Can someone tell me what happens ?
>
> I would really appreciate to understand the trick...
>
>
> ? ? ? ? [[alternative HTML version deleted]]
>
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