[R] by group

[Val]

Thank you all for your help!

On Mon, Nov 1, 2021 at 8:47 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:
>
> ... maybe not. According to Rdocumentation.org:
>
> reshape2's status is:
>
> reshape2 is retired: only changes necessary to keep it on CRAN will be
> made. We recommend using tidyr <http://tidyr.tidyverse.org/> instead.
>
>
> 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 Mon, Nov 1, 2021 at 5:55 PM Rasmus Liland <jral using posteo.no> wrote:
>
> > Dear Val,
> >
> > also consider using reshape2::dcast
> >
> >         dat <- structure(list(Year = c(2001L,
> >         2001L, 2001L, 2001L, 2001L, 2001L,
> >         2002L, 2002L, 2002L, 2002L, 2002L,
> >         2002L, 2003L, 2003L, 2003L, 2003L,
> >         2003L, 2003L), Sex = c("M", "M", "M",
> >         "F", "F", "F", "M", "M", "M", "F", "F",
> >         "F", "M", "M", "M", "F", "F", "F"), wt =
> >         c(15L, 14L, 16L, 12L, 11L, 13L, 14L,
> >         18L, 17L, 11L, 15L, 14L, 18L, 13L, 14L,
> >         15L, 10L, 11L)), class = "data.frame",
> >         row.names = c(NA, -18L))
> >
> >         reshape2::dcast(data=dat,
> >                         formula=Year~Sex,
> >                         value.var="wt",
> >                         fun.aggregate=mean)
> >
> > yielding
> >
> >           Year        F        M
> >         1 2001 12.00000 15.00000
> >         2 2002 13.33333 16.33333
> >         3 2003 12.00000 15.00000
> >
> > Best,
> > Rasmus
> >
> > ______________________________________________
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> > and provide commented, minimal, self-contained, reproducible code.
> >
>
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>
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