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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