Hi John, Thanks for your link. Those plots look pretty but way too complicated 
in terms of making R code.   Maybe my decription is not clear.  But could you 
take a look at the attached png? I saw several publications showing smoothed 
plots like this but not sure how to make one... Thanks,Best,Zhengyu  Date: Fri, 
5 Oct 2012 06:36:38 -0800
From: jrkrid...@inbox.com
Subject: RE: [R] smoothScatter plot
To: zhyjiang2...@hotmail.com
CC: r-help@r-project.org





In line
 John Kane
Kingston ON Canada

-----Original Message-----
From: zhyjiang2...@hotmail.com
Sent: Fri, 5 Oct 2012 05:41:29 +0800
To: jrkrid...@inbox.com
Subject: RE: [R] smoothScatter plot


Hi John,
 
Thanks for your email. Your way works good. 
 
However, I was wondering if you can help with a smoothed scatter plot that has 
shadows with different darker blue color representing higher density of points.
 
Zhengyu 
 
Do you mean something like what is being discussed here? 
http://andrewgelman.com/2012/08/graphs-showing-uncertainty-using-lighter-intensities-for-the-lines-that-go-further-from-the-center-to-de-emphasize-the-edges/
 

If so I think there has been some discussion and accompanying ggplot2 code on 
google groups ggplot2 site.  

Otherwise can you explain a bit more clearly?
Date: Thu, 4 Oct 2012 05:46:46 -0800
From: jrkrid...@inbox.com
Subject: RE: [R] smoothScatter plot
To: zhyjiang2...@hotmail.com
CC: r-help@r-project.org






Hi,

Do you mean something like this?  
=============================================
    scatter.smooth(x,y)scatter.smooth(x,y)
=============================================

It looks like invoking that dcols <- densCols(x,y) is callling in some package 
that is masking the basic::smoothScatter()  and applying some other version of 
smoothScatter, but I am not expert enough to be sure.

Another way to get the same result as mine with smoothScatter is to use the 
ggplot2 package.  it looks a bit more complicated but it is very good and in 
some ways easier to see exactly what is happening.

To try it you would need to install the ggplot2 package 
(install.packages("ggplot2")  then with your original x and y data frames
===============================================
library(ggplot2)
xy  <-  cbind(x, y)
names(xy)  <-  c("xx", "yy")

p  <-  ggplot(xy , aes(xx, yy )) + geom_point( ) + 
                             geom_smooth( method="loess", se =FALSE)
p 
================================================


Thanks for the data set.  However it really is easier to use dput()

To use dput() simply issue the command dput(myfile) where myfile is the file 
you are working with.  It will give you something like this:
======================================================
1> dput(x)
structure(c(0.4543462924, 0.2671718761, 0.1641577016, 1.1593356462, 
0.0421177346, 0.3127782861, 0.4515537795, 0.5332559665, 0.0913911528, 
0.1472054054, 0.1340672893, 1.2599304224, 0.3872026125, 0.0368560053, 
0.0371828779, 0.3999714282, 0.0175815783, 0.8871547761, 0.2706762487, 
0.7401904063, 0.0991320236, 0.2565567348, 0.5854167363, 0.7515717421, 
0.7220388222, 1.3528297744, 0.9339971349, 0.0128652431, 0.4102527051
), .Dim = c(29L, 1L), .Dimnames = list(NULL, "V1"))

1> dput(y)
structure(list(V1 = c(0.8669898448, 0.6698647266, 0.1641577016, 
0.4779091929, 0.2109900366, 0.2915241414, 0.2363116664, 0.3808731568, 
0.379908928, 0.2565868263, 0.1986675964, 0.7589866876, 0.6496236922, 
0.1327986663, 0.4196107999, 0.3436442638, 0.1910728051, 0.5625817464, 
0.1429791079, 0.6441837334, 0.1477153617, 0.369079266, 0.3839842979, 
0.39044223, 0.4186374286, 0.7611640016, 0.446291999, 0.2943343355, 
0.3019098386)), .Names = "V1", class = "data.frame", row.names = c(NA, 
-29L))
1> 

=======================================================

That is your x in dput() form.  You just copy it from the R terminal and paste 
it into your email message.  It is handy if you add the x  <-  and y  <-  to 
the output.  

Your method works just fine but it's a bit more cumbersome with a lot of data.

Also, please reply to the R-help list as well.  It is a source of much more 
expertise than me and it also can reply when a single person is unavailable.

I hope this helps


John Kane
Kingston ON Canada

-----Original Message-----
From: zhyjiang2...@hotmail.com
Sent: Thu, 4 Oct 2012 05:19:14 +0800
To: jrkrid...@inbox.com
Subject: RE: [R] smoothScatter plot


Hi John,
 
Thanks for your reply. But I cannot figure out how to use dput(). I included 
data and code below. Is that possible to make a plot similar to attached 
smoothing effect.
 
Zhengyu
###########
 
x<-read.table(text="0.4543462924
0.2671718761
0.1641577016
1.1593356462
0.0421177346
0.3127782861
0.4515537795
0.5332559665
0.0913911528
0.1472054054
0.1340672893
1.2599304224
0.3872026125
0.0368560053
0.0371828779
0.3999714282
0.0175815783
0.8871547761
0.2706762487
0.7401904063
0.0991320236
0.2565567348
0.5854167363
0.7515717421
0.7220388222
1.3528297744
0.9339971349
0.0128652431
0.4102527051",header=FALSE)
y<-read.table(text="0.8669898448
0.6698647266
0.1641577016
0.4779091929
0.2109900366
0.2915241414
0.2363116664
0.3808731568
0.379908928
0.2565868263
0.1986675964
0.7589866876
0.6496236922
0.1327986663
0.4196107999
0.3436442638
0.1910728051
0.5625817464
0.1429791079
0.6441837334
0.1477153617
0.369079266
0.3839842979
0.39044223
0.4186374286
0.7611640016
0.446291999
0.2943343355
0.3019098386",header=FALSE)
x<-data.matrix(x)
y<-data.matrix(y)
dcols <- densCols(x,y)
smoothScatter(x,y, col = dcols, pch=20,xlab="A",ylab="B")

 ################################
> Date: Tue, 2 Oct 2012 05:19:27 -0800
> From: jrkrid...@inbox.com
> Subject: RE: [R] smoothScatter plot
> To: zhyjiang2...@hotmail.com; r-help@r-project.org
> 
> It's hard to know what's wrong with your code since you did not supply it.  
> 
> Please supply a small working example and some data.  To supply data use the 
> dput() function, see ?dput() for details.   
> 
> John Kane
> Kingston ON Canada
> 
> 
> > -----Original Message-----
> > From: zhyjiang2...@hotmail.com
> > Sent: Tue, 2 Oct 2012 11:38:31 +0800
> > To: r-help@r-project.org
> > Subject: [R] smoothScatter plot
> > 
> > 
> > 
> > 
> > 
> > Hi, I want to make a plot similar to sm1 (attached). The code I tried is:
> > dcols <- densCols(x,y)
> > smoothScatter(x,y, col = dcols, pch=20,xlab="A",ylab="B")
> > abline(h=0, col="red")
> >  But it turned out to be s1 (attached) with big dots. I was wondering if
> > anything wrong with my code. Thanks,Zhengyu
> > ______________________________________________
> > R-help@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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> 
> 
                                          




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