[R] ggplot get rid of unused/empty facets

[PIKAL Petr]

Yes, thank you Ivan.

I used slightly different approach but with similar idea. I just wondered,
if there is some clever hidden easy command or parameter inside ggplot
environment which could drop panels without data.

Cheers
Petr

> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Ivan Calandra
> Sent: Thursday, April 30, 2020 12:28 PM
> To: r-help using r-project.org
> Subject: Re: [R] ggplot get rid of unused/empty facets
> 
> Dear Petr,
> 
> This is not a ggplot2 solution, but you could just remove the NA rows and
> drop the levels of vzorek:
> met2 <- met[complete.cases(met), ]
> met2$vzorek <- droplevels(met2$vzorek)
> 
> But I guess you already thought about that...!
> 
> Ivan
> 
> --
> Dr. Ivan Calandra
> TraCEr, laboratory for Traceology and Controlled Experiments MONREPOS
> Archaeological Research Centre and Museum for Human Behavioural
> Evolution Schloss Monrepos
> 56567 Neuwied, Germany
> +49 (0) 2631 9772-243
> https://www.researchgate.net/profile/Ivan_Calandra
> 
> On 30/04/2020 12:13, PIKAL Petr wrote:
> > Dear all
> >
> > I seek some help how to remove unused facets in ggplot
> >
> > Here is my code
> > p <- ggplot(met, aes(x=datum, y=lsp))
> > p+geom_point(size=5)+geom_line()+facet_grid(.~vzorek)
> >
> > As you can see, there are some empty facets. Is there any reasonably
> > simple way how to automatically get rid of empty facets and adjust
> > width of remaining facets?
> >
> > I could programmatically remove empty levels of vzorek before invoking
> > ggplot but before are start with such approach I would like to check
> > if there is some solution within ggplot.
> >
> > Here are some toy data.
> >
> > met <- structure(list(datum = structure(c(18282, 18282, 18282, 18290,
> > 18290, 18290, 18296, 18296, 18296, 18304, 18304, 18304, 18311, 18311,
> > 18311, 18317, 18317, 18317, 18317, 18324, 18324, 18324, 18332, 18332,
> > 18332, 18340, 18340, 18340, 18345, 18345, 18345, 18352, 18352, 18369,
> > 18369, 18369, 18375, 18375, 18375), class = "Date"),
> >     vzorek = structure(c(9L, 8L, 2L, 5L, 9L, 6L, 1L, 7L, 8L,
> >     9L, 5L, 1L, 2L, 7L, 8L, 5L, 2L, 1L, 7L, 9L, 7L, 5L, 4L, 2L,
> >     1L, 3L, 8L, 5L, 9L, 2L, 1L, 7L, 8L, 9L, 8L, 2L, 1L, 7L, 5L
> >     ), .Label = c("a", "b", "c", "d", "e", "f", "g", "h", "i"
> >     ), class = "factor"), lsp = c(55.3, 54.68, 53.15, 54.55,
> >     55.17, NA, NA, NA, 54.79, 55.27, 54.44, NA, 53.31, NA, 54.52,
> >     54.35, 53.88, NA, NA, 55.21, NA, 54.39, NA, 52.95, NA, NA,
> >     54.56, 54.39, 55, 53.2, NA, NA, 54.54, NA, 54.57, 53.31,
> >     NA, NA, NA), asp = c(-1.63, -1.47, -1.19, -1.35, -1.62, NA,
> >     NA, NA, -1.46, -1.65, -1.4, NA, -1.2, NA, -1.5, -1.36, -1.21,
> >     NA, NA, -1.64, NA, -1.36, NA, -1.21, NA, NA, -1.5, -1.42,
> >     -1.68, -1.2, NA, NA, -1.47, NA, -1.47, -1.22, NA, NA, NA),
> >     bsp = c(-7.19, -5.65, -7.22, -5.31, -7.12, NA, NA, NA, -5.65,
> >     -7.14, -5.34, NA, -7.16, NA, -5.68, -5.3, -7.14, NA, NA,
> >     -7.14, NA, -5.34, NA, -7.17, NA, NA, -5.65, -5.34, -7.25,
> >     -7.19, NA, NA, -5.65, NA, -5.66, -7.14, NA, NA, NA)), row.names =
> > c(NA, -39L), class = "data.frame") Cheers Petr
> >
> >
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