Message-ID: <1648038725054.91539@med.uni-heidelberg.de>
Date: 2022-03-23T12:32:05Z
From: Garbade, Sven
Subject: panel.rect and log scale in lattice plot
In-Reply-To: <CADfFDC4sPHeiZ+MN7atY3=4opTntPcYYqD+6yi=YM9POLgswMg@mail.gmail.com>
using trellis.last.object()$y.scales$log helps a lot, thanks! I now check whether data were transformed and apply an appropriate transformation if needed. Maybe it helps when current.panel.limit() has information about transformations, so someone doesn't need to call 'trellis.last.object()', too.
________________________________________
Von: Deepayan Sarkar <deepayan.sarkar at gmail.com>
Gesendet: Mittwoch, 23. M?rz 2022 12:05
An: Ivan Krylov
Cc: Garbade, Sven via R-help; Garbade, Sven
Betreff: Re: [R] panel.rect and log scale in lattice plot
On Wed, Mar 23, 2022 at 4:08 PM Ivan Krylov <krylov.r00t at gmail.com> wrote:
>
> On Wed, 23 Mar 2022 09:38:34 +0000
> "Garbade, Sven via R-help" <r-help at r-project.org> wrote:
>
> > cpl <- current.panel.limits()
>
> If you str() the return value of current.panel.limits() from the panel
> function with log-scaling enabled, you can see that it contains the
> logarithm of the y-values, as do the y values themselves. This is
> consistent with ?xyplot saying:
>
> >> Note that this is in reality a transformation of the data, not the
> >> axes. Other than the axis labeling, using this feature is no
> >> different than transforming the data in the formula; e.g.,
> >> ?scales=list(x = list(log = 2))? is equivalent to ?y ~ log2(x)?.
>
> ...although it could be more explicit.
>
> If you take a logarithm of 10 and 500, lrect() should be able to
> produce a rectangle in the right place.
Right, "log scales" in lattice simply transform the data, unlike in
traditional graphics.
If it helps, I could change current.panel.limits() to return
information on whether the data were transformed. For now, a
roundabout way to detect this inside the panel function is to use
trellis.last.object()$y.scales$log etc.
Best,
-Deepayan
>
> --
> Best regards,
> Ivan
>
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