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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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/
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and provide commented, minimal, self-contained, reproducible code.
