Dear Tom,
Does ggplot(data,aes(x=x,y=y))+geom_point(aes(color=group))+facet_wrap(~group +
id) gives what you need?
Note that facet_grid by design aligns the subplots into rows and columns with
the same level.
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
thierry.onkel...@inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more than
asking him to perform a post-mortem examination: he may be able to say what the
experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not ensure
that a reasonable answer can be extracted from a given body of data. ~ John
Tukey
________________________________________
Van: R-help [r-help-boun...@r-project.org] namens Tom Wright [t...@maladmin.com]
Verzonden: dinsdag 6 januari 2015 22:13
Aan: R. Help
Onderwerp: [R] ggplot with sparse layout
Hi,
I would like to plot the following data such that each plot represents the
data from a single id and the plots are grouped according to the group
variable.
data<-data.frame(id=factor(rep(1:6,each=3)),
group=factor(c('a','a','b','c','c','c')),
x=runif(18,0,10),
y=rnorm(18,0,1))
The following ggplot nearly works but I would prefer to not plot the
missing combinations, i.e. each row will be a different length.
ggplot(data,aes(x=x,y=y))+geom_point(aes(color=group))+facet_grid(group~id)
Is this possible using ggplot or will I need to craft something using grid?
Thanks for any ideas.
Tom
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