The quickest way, using the example data, would be
matplot( df$x, df[,-1])
Obviously doesn't have the nice ggplot style, but it does do what was
requested. And depending on the context and ultimate goal, may be
sufficient.
Simple improvements are easy:
matplot( df$x, df[,-1],
xlab='x', ylab='y1, y2',
pch=c(1,4) , main='My Data' )
-Don
p.s.
As a personal and editorial aside, I often think that amongst all of the
great extensions to R that have been developed over the years, the basics
get forgotten.
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 2/17/14 2:41 PM, "Ramiro Barrantes" <ram...@precisionbioassay.com>
wrote:
>Hello,
>
>Sorry if this is repeated somewhere, I imagine it must be a common issue
>but I can't find an answer!
>
>I have a data.frame with two responses, example (response variables to x
>are y1 and y2):
>
>df<-data.frame(x=1:10,y1=1:10,y2=11:20)
>
>I would like to see it on the same plot with different colours.
>
>The only thing I can think of is:
>df2<-rbind(df,df)
>df2[1:10,"y"]<-df$y1
>df2[11:20,"y"]<-df$y2
>df2[1:10,"yType"]<-'y1'
>df2[11:20,"yType"]<-'y2'
>
>ggplot(df2,aes(x=x,y=y,colour=yType))+geom_point(shape=1)
>
>Is there a better way?
>
>Thanks in advance,
>Ramiro
>
> [[alternative HTML version deleted]]
>
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