[R] Formatting YYYY-MM after reading text file [RESOLVED]
MacQueen, Don
macqueen1 at llnl.gov
Fri Jun 26 23:24:18 CEST 2015
I would have just assigned them all to the first day of the month, using
as.Date( paste0(allchem$sampdate,'-01') )
(or maybe the middle of the month represented by the 15th)
and then had a variable that was of the Date class in the base R (with
which I am familiar, no small consideration).
Depending on what needs to be done with them -- plotting with a date axis?
-- calculating elapsed time between sampling events? -- I suppose one or
the other of 'yearmon' or 'Date' might be more convenient.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 6/26/15, 12:04 PM, "R-help on behalf of Rich Shepard"
<r-help-bounces at r-project.org on behalf of rshepard at appl-ecosys.com> wrote:
>On Fri, 26 Jun 2015, Rich Shepard wrote:
>
>> allchem$sampdate <- as.yearmon(format(%Y-%m))allchem$sampdate
>
> Reading the yearmon help page again led me to try
> allchem$sampdate <- as.yearmon(allchem$sampdate)
>which produces the following structure:
>
>'data.frame': 2226 obs. of 4 variables:
> $ stream : chr "B" "B" "B" "B" ...
> $ sampdate:Class 'yearmon' num [1:2226] 1992 1992 1992 1992 1992 ...
> $ param : chr "Cl" "SO4" "pH" "Cl" ...
> $ quant : num 4 33 8.43 4 32 8.46 4 31 8.43 6 ...
>
>which appears to do what's needed:
>
>allchem
> stream sampdate param quant
>1 B Mar 1992 Cl 4.000
>2 B Mar 1992 SO4 33.000
>3 B Mar 1992 pH 8.430
>4 B Apr 1992 Cl 4.000
>5 B Apr 1992 SO4 32.000
>6 B Apr 1992 pH 8.460
>7 B May 1992 Cl 4.000
>8 B May 1992 SO4 31.000
>9 B May 1992 pH 8.430
>10 B Jun 1992 Cl 6.000
>
> Not having before worked with dates like this I'll soon see what
>happens
>as the analyses proceed.
>
>Rich
>
>______________________________________________
>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.
More information about the R-help
mailing list