R help - Jul 2013 - add different regression lines for groups on ggplot

Hey All,

I need to apply different regression lines to different group on my ggplot,
and here is the code I use:

qplot(x=Var1,y=Var2,data=df,color=SiteID,group=SiteID)+geom_point()+geom_smooth(method='lm',formula=log(y)~I(1/x),se=FALSE,size=2)

However the regression for different groups is as below:

AL1/AL2: log(y)~I(1/x)
AL3: log(y)~log(x)

How can I apply each regression equation on the same ggplot?

Also I have an issue that if I use the code above, the regression lines are
not overlapped on top of my data points.

Thanks for your help!

I have not tried anything like that but have a look at
www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=0CDkQFjAC&url=http%3A%2F%2Fstackoverflow.com%2Fquestions%2F7476022%2Fgeom-point-and-geom-line-for-multiple-datasets-on-same-graph-in-ggplot2&ei=MfHzUej7FoSergG1_ICYAw&usg=AFQjCNH2b72a6un_xAM-PYxC-sUGU8-xOw&sig2=iBIrl1uhIsJXmPbAh4kUbw&bvm=bv.49784469,d.aWM

You may be able to use two smooth statements to do what you want.

John Kane
Kingston ON Canada

> -----Original Message-----
> From: yelin at lbl.gov
> Sent: Fri, 26 Jul 2013 12:21:23 -0700
> To: r-help at r-project.org
> Subject: [R] add different regression lines for groups on ggplot
> 
> Hey All,
> 
> I need to apply different regression lines to different group on my
> ggplot,
> and here is the code I use:
> 
>
qplot(x=Var1,y=Var2,data=df,color=SiteID,group=SiteID)+geom_point()+geom_smooth(method='lm',formula=log(y)~I(1/x),se=FALSE,size=2)
> 
> However the regression for different groups is as below:
> 
> AL1/AL2: log(y)~I(1/x)
> AL3: log(y)~log(x)
> 
> How can I apply each regression equation on the same ggplot?
> 
> Also I have an issue that if I use the code above, the regression lines
> are
> not overlapped on top of my data points.
> 
> Thanks for your help!
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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