[R] Creating multiple graphs based on one variable

[Tim Clark]

Luc,

Thanks!  I was not aware of that package.  It looks a lot easier than what I have been trying to do!

Aloha,

Tim


Tim Clark
Department of Zoology 
University of Hawaii


--- On Tue, 5/26/09, Luc Villandre <villandl at dms.umontreal.ca> wrote:

> From: Luc Villandre <villandl at dms.umontreal.ca>
> Subject: Re: [R] Creating multiple graphs based on one variable
> To: "Tim Clark" <mudiver1200 at yahoo.com>
> Cc: r-help at r-project.org
> Date: Tuesday, May 26, 2009, 4:01 AM
> Tim Clark wrote:
> > Dear List,
> > 
> > I would like to create several graphs of similar
> data.  I have x and y values for several different
> individuals (in this case fish).  I would like to plot
> the x and y values for each fish separately.  I can do
> it using a for loop, but I think I should be using
> "apply".  Please let me know what I am doing wrong, or
> if there is a "better" way to do this.  What I have
> is:
> > 
> > #Test data
> >
> dat<-data.frame(c(rep(1:10,4)),c(rep(1:10,4)),c(rep(c("Tony","Mike","Vicky","Fred"),each=10)))
> > names(dat)<-c("x","y","Name") 
> > #Create function to plot x and y
> > myplot<-function() plot(dat$x,dat$y)
> > 
> > #Apply the function to each of the names
> >
> par(mfcol=c(2,2))   apply(dat,2,myplot,by=dat$Name)
> #Does not work - tried various versions
> > 
> > I would like separate plots for Tony, Mike, and
> Vicky.  What is the best way to do this?  
> > Thank!
> > 
> > Tim
> > 
> > 
> > Tim Clark
> > Department of Zoology University of Hawaii
> > 
> > ______________________________________________
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> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained,
> reproducible code.
> >   
> 
> Hi Tim,
> 
> I'm now rather fond of Hadley Wickham's ggplot2 package.
> Its structure is most of the times intuitive and it does
> yield nice-looking output.
> 
> In order to solve your problem, taking advantage of the
> ggplot2 framework, you can simply use the following:
> > library(ggplot2) ;
> > ## If you want all the curves to be on the same
> plotting grid ;
> > 
> > p <- ggplot(dat, aes(x=x,y=y, group=Name)) ;
> > p + geom_line(aes(colour=Name)) ; ## Only one curve
> will be visible since they are all superposed.
> > 
> > ## If you want the curves to be on separate plotting
> grids ;
> > 
> > p <- ggplot(dat, aes(x=x,y=y, group=Name)) ;
> > p <- p + geom_line(aes(colour=Name)) ;
> > p+facet_grid(. ~ Name) ;
> Hope this helps,
> -- *Luc Villandré*
> /Biostatistician
> McGill University Health Center -
> Montreal Children's Hospital Research Institute/
>