gmane.comp.lang.r.gr.rdf

R-Project是一个开源的统计软件,专门有一个R语言,类似S语言,这个包里面就是一个R实现的文本挖掘(text mining简称tm)的包.里面有代码和样本数据.

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    <description/>
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  <image rdf:about="http://gmane.org/img/gmane-25t.png">
    <title>Gmane</title>
    <url>http://gmane.org/img/gmane-25t.png</url>
    <link>http://gmane.org</link>
  </image>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/23">
    <title>Health</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/23</link>
    <description>_______________________________________________
R-sig-gR mailing list
R-sig-gR&lt; at &gt;stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-sig-gr
</description>
    <dc:creator>Brennan Wright</dc:creator>
    <dc:date>2006-11-12T15:15:31</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/22">
    <title>how to do a principle component analysis withgeo-referenced points</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/22</link>
    <description>Dear friends,

I wanted to know how to do a principle component analysis (PCA) from
geo-referenced points.

I have a list like:

geo$xy with coordinates,

and geo$data with the data that I want to do the analysis

聟is this right?

 

 

+++++++++++++++++++++++++++++++

Carlos GUERRA

 

Instituto Polit茅cnico de Viana do Castelo

Escola Superior Agr谩ria de Ponte de Lima

 

Mosteiro de Ref贸ios do Lima

4990-706 Ponte de Lima

PORTUGAL

 

MAIL: carlosguerra&lt; at &gt;esa.ipvc.pt

TEL: [phone]

+++++++++++++++++++++++++++++++

 


[[alternative HTML version deleted]]

_______________________________________________
R-sig-gR mailing list
R-sig-gR&lt; at &gt;stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-sig-gr
</description>
    <dc:creator>Carlos GUERRA</dc:creator>
    <dc:date>2006-11-10T12:14:46</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/21">
    <title>New gR package</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/21</link>
    <description>The gRcox package is now available on CRAN. The package can be used for inference in graphical Gaussian models with symmetry restrictions. The use of the package is described in: 

H酶jsgaard, S. and Lauritzen, S. L. (2006). Inference in graphical Gaussian models with edge and vertex symmetries with the gRcox package for R,

available at:

http://www.stats.ox.ac.uk/~steffen/papers/gRcox-JSS.pdf

The theoretical underpinning of the models and methods is described in:

H酶jsgaard, S. and Lauritzen, S. L. (2006). Graphical Gaussian models with edge and vertex symmetries,

available at:

http://www.stats.ox.ac.uk/~steffen/papers/rcoxrss.pdf

Regards
Steffen
--
Professor Steffen L. Lauritzen
Department of Statistics, University of Oxford
1 South Parks Road, Oxford OX1 3TG, United Kingdom
Tel: [phone]; Fax: [phone] 
email: steffen&lt; at &gt;stats.ox.ac.uk URL: www.stats.ox.ac.uk/~steffen/
</description>
    <dc:creator>Steffen Lauritzen</dc:creator>
    <dc:date>2006-09-24T12:12:50</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/20">
    <title>Re: R Question???</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/20</link>
    <description>PLEASE do use the R-help mailing list for questions about R.

R-sig-gR has a very specialized focus (graphical models) about
which you are not at all talking.


    Luis&gt; Dear all,
    Luis&gt; I arrive to do density plots using the function "kde2d" , and from this do 
    Luis&gt; a countour plot. My problem is that I do not really understand what the 
    Luis&gt; labels for the different levels mean??? What I would like to obtain is a 
    Luis&gt; surface encompassing the 95 percentile of my values. In other words I would 
    Luis&gt; like the levels to represent, for example, the 90th, 95th and 99th 
    Luis&gt; percentiles of my values. I hope I have been clear.
    Luis&gt; Do you think you can help me??? I would be VERY grateful.


    Luis&gt; Thanks in advance

    Luis&gt; Luis Barreiro
</description>
    <dc:creator>Martin Maechler</dc:creator>
    <dc:date>2006-09-06T15:33:29</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/19">
    <title>R Question???</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/19</link>
    <description>Dear all,

I arrive to do density plots using the function "kde2d" , and from this do 
a countour plot. My problem is that I do not really understand what the 
labels for the different levels mean??? What I would like to obtain is a 
surface encompassing the 95 percentile of my values. In other words I would 
like the levels to represent, for example, the 90th, 95th and 99th 
percentiles of my values. I hope I have been clear.
Do you think you can help me??? I would be VERY grateful.


Thanks in advance

Luis Barreiro
</description>
    <dc:creator>Luis Barreiro</dc:creator>
    <dc:date>2006-09-06T15:34:33</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/18">
    <title>Re: unordered, 3 variable scatter plotting</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/18</link>
    <description>PLEASE, Michael,

do not (again !?) misuse the R-sig-gR  mailing list for simple
question about R -- which clearly belong to nowhere else but R-help !




</description>
    <dc:creator>Martin Maechler</dc:creator>
    <dc:date>2006-08-29T07:02:34</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/17">
    <title>Re: unordered, 3 variable scatter plotting</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/17</link>
    <description>BTW: This is more an R-help question but has not much to do with the 
topic of this list, AFAICS.

Uwe Ligges wrote:
</description>
    <dc:creator>Uwe Ligges</dc:creator>
    <dc:date>2006-08-29T06:58:09</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/16">
    <title>Re: unordered, 3 variable scatter plotting</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/16</link>
    <description>

Michael Grant wrote:


See cloud() in package "lattice", scatterplot3d() in "scatterplot3d", or 
plot3d() in "rgl".

Uwe Ligges


</description>
    <dc:creator>Uwe Ligges</dc:creator>
    <dc:date>2006-08-29T06:56:18</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/15">
    <title>unordered, 3 variable scatter plotting</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/15</link>
    <description>I am unable to persuade any high level routine in R to provide image,
contour or perspective plots of unordered 3 dimensional triples
(y1,y2,y3) in the same way that plot (y1,y2) will do.  Pairwise
combinations I can do but would like to have a cohesive pseudo-three
dimensional graphical display the data points which do not form
ascending values.

Can anyone remove my ignorance?

Thank you in advance.

Michael Grant
</description>
    <dc:creator>Michael Grant</dc:creator>
    <dc:date>2006-08-28T20:03:23</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/14">
    <title>Re: scatterplot.matrix</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/14</link>
    <description>

Dan McElligott wrote:

So you are talking about package car?
Why is this related to mailing list gr? I think this would have been a 
better question for R-help, or whatever ....

Use argument "upper.panel", which is passed down to pairs(), as follows:

scatterplot.matrix(~income + education + prestige | type, data=Duncan,
     upper.panel=NULL)


Uwe Ligges


</description>
    <dc:creator>Uwe Ligges</dc:creator>
    <dc:date>2006-08-23T21:03:07</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/13">
    <title>scatterplot.matrix</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/13</link>
    <description>Hi there,

I wonder does anybody know if it's possible to just print only one scatterplot per comparison (A is a function of B, but B is not a function of A) using the scatterplot.matrix module. I know this is possible in Statistica but can't seem to find out if its possible in R. The main reason I want to print only half the plots is the hope that is will significantly speed up generating the matrix plot. If anyone has any ideas to how this could be achieved, I very much appreciate a response.

Thanks in advance

Dan 

Dan McElligott, M.Res., M.Sc.
Bioinformaticist 
OHSU Affymetrix Microarray Core
mailcode VGTI
Oregon Health and Science University
505 NW 185th Ave
Beaverton, OR 97006

503 418 2738
mcelligo&lt; at &gt;ohsu.edu
</description>
    <dc:creator>Dan McElligott</dc:creator>
    <dc:date>2006-08-23T20:00:49</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/12">
    <title>Re: Help needed using lattice for area plots lpolygon, xyplot.</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/12</link>
    <description>Toby,

this is the SIG for "graphical models" which is not concerned with
"graphics". It would be more appropriate (and more likely to generate
answers) to ask this question on R-help.

Best,
Z

</description>
    <dc:creator>Achim Zeileis</dc:creator>
    <dc:date>2006-06-07T15:30:27</dc:date>
  </item>
  <item rdf:about="http://permalink.gmane.org/gmane.comp.lang.r.gr/11">
    <title>Help needed using lattice for area plots lpolygon, xyplot.</title>
    <link>http://permalink.gmane.org/gmane.comp.lang.r.gr/11</link>
    <description>I am trying to learn how to use the graphics from the lattice package ( 
and am very new to R). 

I am trying to replicate the example plot referenced below, by using the 
lattice xyplot &amp; lpolygon to create panels.  I get what appears to be the 
correct shape of the filled region, but cannot get the position to overlay 
properly.  I have attempted with various settings of position.  ( i.e. 
position = c(0,0,1,1)  etc settings as well.   I am not understanding 
something about the positioning panels.  I am missing some subtle 
difference between polygon &amp; lpolygon, or am missing something about panel 
overlays &amp;/or panel postions.

#http://addictedtor.free.fr/graphiques/graphcode.php?graph=7. 
par(bg="white") 
n &lt;- 100
set.seed(43214) #just so we have the same exact graph
x &lt;- c(0,cumsum(rnorm(n))) 
y &lt;- c(0,cumsum(rnorm(n))) 
xx &lt;- c(0:n, n:0)
yy &lt;- c(x, rev(y)) 
plot(xx, yy, type="n", xlab="Time", ylab="Distance") 
polygon(xx, yy, col="gray") 
title("Distance Between Brownian Motions") 



# using lattice.
p1 &lt;- xyplot( yy~xx,type='l');