R help - Mar 2012 - How to use ggplot to do the binned quantile plots(one type of scatter plot)?

How to use ggplot to do the binned quantile plots(one type of scatter plot)?

Hi all,

I have done scatter plot: plot(x, y).

Now I wanted to do binned quantile plots... can ggplot2 help me?

For example, we bin x data into 10 bins.

For each bin, we draw the 10 deciles of the corresponding y data in that
bin as points/dots.

And then accross all bins, we would like to connect the corresponding
decile points/dots together(something like equi-quantile or equi-decile
curves)...

How do I do that in R or ggplot2? Is there an existing function/command
that can do this?

Thanks a lot!

	[[alternative HTML version deleted]]

On Mar 14, 2012, at 11:33 AM, Michael wrote:
> How to use ggplot to do the binned quantile plots(one type of  
> scatter plot)?
More like a quantile regression plot.
>
> Hi all,
>
> I have done scatter plot: plot(x, y).
>
> Now I wanted to do binned quantile plots... can ggplot2 help me?
>
> For example, we bin x data into 10 bins.
>
> For each bin, we draw the 10 deciles of the corresponding y data in  
> that
> bin as points/dots.
>
> And then accross all bins, we would like to connect the corresponding
> decile points/dots together(something like equi-quantile or equi- 
> decile
> curves)...
>
> How do I do that in R or ggplot2? Is there an existing function/ 
> command
> that can do this?
I'm not aware of it if there is. But I agree that it can be a very  
informative display of data.  I do such plots on data structures  
generated using tapply with age, sex categories and quantile() to  
generate a value. It gets kind of hairy with the list structure that  
results but if you have a more simple data situation it will probably  
be more straightforward, and you should post it.
> 	[[alternative HTML version deleted]]
And you should learn to post in plain text
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
And you should read the Posting Guide.
> and provide commented, minimal, self-contained, reproducible code.

And I already said that.

-- 

David Winsemius, MD
West Hartford, CT