R help - Apr 2011 - boxplot with 2 treatments and 2 variables (with 2 corresponding y-axes)

Hi,

I am a complete newcomer to R and although I can plot standard box-plots I am
struggling with this...

I have two treatments - A & B, and 2 variables 1 & 2. I want to compare
boxplots of variable 1 with variable 2 for each treatment. I would also like
them to all be on the same graphic.

I would like treatment to be on the x axis (A and B) and above A and B have
their corresponding boxplots for both variables.I would also like 2 seperate
y-axes, one for each variable - Variable 1 has a continuous y axis, and variable
2 is a percentage (of variable 1 in-fact, not that this should make a
difference).

It would also be helpful if the boxplots were a different colour for each
variable and that this corresponded somehow to the relevant axis. Or if someone
can think of another way to show which treatment each boxplot is that would be
gratefully recieved

Hope this makes sense and isn't too much of a pain to answer!

Thanks in advance
Dave


	[[alternative HTML version deleted]]

On 15.04.2011 16:20, Ellis, David wrote:
> Hi,
>
> I am a complete newcomer to R and although I can plot standard box-plots I
am struggling with this...
>
> I have two treatments - A&  B, and 2 variables 1&  2. I want to
compare boxplots of variable 1 with variable 2 for each treatment. I would also
like them to all be on the same graphic.
>
> I would like treatment to be on the x axis (A and B) and above A and B have
their corresponding boxplots for both variables.I would also like 2 seperate
y-axes, one for each variable - Variable 1 has a continuous y axis, and variable
2 is a percentage (of variable 1 in-fact, not that this should make a
difference).
>
> It would also be helpful if the boxplots were a different colour for each
variable and that this corresponded somehow to the relevant axis. Or if someone
can think of another way to show which treatment each boxplot is that would be
gratefully recieved
>
> Hope this makes sense and isn't too much of a pain to answer!
Not sure if it makes sense:
If you have two boxplots beside each other, you tend to compare them 
directly. If they are unrelated (different variables with different 
scaling as in this case), I'd be careful not to confuse the reader of 
the plot ....

Best,
Uwe Ligges


> Thanks in advance
> Dave
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> 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.

Hi

r-help-bounces at r-project.org napsal dne 15.04.2011 16:20:23:
> Hi,
> 
> I am a complete newcomer to R and although I can plot standard box-plots 
I am 
> struggling with this...
> 
> I have two treatments - A & B, and 2 variables 1 & 2. I want to
compare
> boxplots of variable 1 with variable 2 for each treatment. I would also 
like 
> them to all be on the same graphic.
> 
> I would like treatment to be on the x axis (A and B) and above A and B 
have 
> their corresponding boxplots for both variables.I would also like 2 
seperate 
> y-axes, one for each variable - Variable 1 has a continuous y axis, and 
> variable 2 is a percentage (of variable 1 in-fact, not that this should 
make a
> difference).
> 
> It would also be helpful if the boxplots were a different colour for 
each 
> variable and that this corresponded somehow to the relevant axis. Or if 
> someone can think of another way to show which treatment each boxplot is 
that 
> would be gratefully recieved
> 
Here is one option

x<-rnorm(10)
y<-rnorm(10)+5
trt<-sample(letters[1:2], 10, replace=T)
df<-cbind(c(x,y), rep(trt,2), rep(c("v1","v2"), each=10))
df<-as.data.frame(df)
df[,1]<-as.numeric(as.character(df[,1]))
boxplot(split(df[,1], interaction(df[,2], df[,3])))
 
however you have only one y axis. Similar result but better structured you 
can get using ggplot2 or lattice packages.

Having 2 y axes is rather confusing but you can scale your values and add 
axis annotation with
axis(....) but I doubt it is worth an effort.

Regards
Petr



> Hope this makes sense and isn't too much of a pain to answer!
> 
> Thanks in advance
> Dave
> 
> 
>    [[alternative HTML version deleted]]
> 
> ______________________________________________
> 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.