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    <description/>
    <syn:updatePeriod>hourly</syn:updatePeriod>
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        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133043"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133036"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133035"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133032"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133031"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133017"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133012"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133010"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133009"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/133006"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132996"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132990"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132988"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132984"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132983"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132976"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132973"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132961"/>
        <rdf:li rdf:resource="http://comments.gmane.org/gmane.comp.lang.r.general/132959"/>
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    <link>http://gmane.org</link>
  </image>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133043">
    <title>Non-interactive passing of quoted variables (ggplot, plyr, subset, transform, etc)</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133043</link>
    <description>Hello Everyone,
May be a silly question.

How to pass programmatically variables which are not known in advance and  
are quoted? Variables are quoted implicitly in  functions like "subset"  
and "transform" and explicitly in ggplot and plyr.

For instance I would like to have something like this:

myfunc&lt;-functon(mydata,X) subset(mydata,X&gt;4)
myfunc&lt;-function(mydata,X,Y) {ggplot(mydata,aes(x=X,y=Y))+geom_points()}

this does not work since X and Y are not in mydata.

Many, many thanks,
Vitalie.

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

</description>
    <dc:creator>Vitalie Spinu</dc:creator>
    <dc:date>2008-12-01T17:06:15</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133036">
    <title>Parameters of exponential power density</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133036</link>
    <description>
Hello!
I must estimate the parameters of a exponential power density. There is the
normalp package, but this works only for a shape parameter bigger than 1.
But what should i do if the shape parameter is less than 1? (Sorry for my
english)
Thank you very much for help!
</description>
    <dc:creator>Schacka24</dc:creator>
    <dc:date>2008-12-01T16:12:22</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133035">
    <title>Error: "subscript out of bounds"</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133035</link>
    <description>
Hi All,

I am trying to replace the "NA" values in a matrix by using the following
function:
it gets a "name" of the matrix or list or vector and turns it to a matrix
called "m". 
then checks the elements of the matrix and if any of them is "NA" replace
them with "0".

rep=function(name){
m=as.matrix(name)
for(i in 1:length(m)){
 for(j in 1:length(m)){
  if(is.na(m[i,j])){
    m[i,j]=0 
}}}}

when I use the function with the following matrix:

      X1  X2  X3    X5
X1  1.00 NA NA -0.25
X2    NA  1 NA    NA
X3    NA NA  1    NA
X5 -0.25 NA NA  1.00

I get this error: "subscript out of bounds".
I used debug on "rep" function and it seems it works for i=1 and j=1&amp;2&amp;3&amp;4&amp;5
after that, when it's suppose to go to i=2 I get the error.
any idea why and how to fix it?
Thanks
</description>
    <dc:creator>Alex99</dc:creator>
    <dc:date>2008-12-01T15:05:50</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133032">
    <title>Spatstat - K2 index</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133032</link>
    <description>Hi all,

I'm using spatstat to investigate the spatial structure of an arid shrub
population.  The first-order intensity of my data does not appear to be
homogenous, so I would like to use inhomogeneous techniques.  I realise
there is a inhomogeneous K-function available in spatstat, but there
doesn't not appear to be one for the pair-correlation function (O-ring
statistic).  As such I was planning to use a new technique (the K2
index) as described in Schiffers et al. (2008) [Ecography, 31:545-555].
The following website has more detail
[http://www.oikos.ekol.lu.se/appendixdown/E5374-example.R].  Despite
this I cannot get the function to run!  I am not very familiar with R so
it is likely my problem is simple.  Does anyone have any experience with
the K2-index who can give me some pointers?

Many thanks

Lauren 

This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. E</description>
    <dc:creator>Gough Lauren</dc:creator>
    <dc:date>2008-12-01T15:30:13</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133031">
    <title>align two lattice plots with grid</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133031</link>
    <description>Dear list,

I need to align two plots on top of each other for comparison (they  
only have the x-axis in common). When the y-labels have a different  
extent, I cannot find a way to align the x-axes, as illustrated below,




Any help would be greatly appreciated!

baptiste
_____________________________

Baptiste Auguié

School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK

Phone: +44 1392 264187

http://newton.ex.ac.uk/research/emag

______________________________________________
R-help&lt; at &gt;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.

</description>
    <dc:creator>baptiste auguie</dc:creator>
    <dc:date>2008-12-01T16:13:50</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133017">
    <title>gee + rcs</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133017</link>
    <description>Hi all,
 
I have fitted a gee model with the gee package and included restricted cubic spline functions. Here is the model:
 
chol.g &lt;- gee(SKIN ~ rcs(CHOLT, 3), id=ID, data=chol, family=binomial(link="logit"), corstr="exchangeable")

To extract the log odds I use:
 
predict.glm(chol.g, type = "link")
 
Now I want to compute the logg odds for specific CHOLT values (the dependent variable) that I want to choose myself (i.e. that are not available in the dataset). Is there a way to get the linear predictor of the gee model including all separate spline functions and related coefficients? Latex from the Design package does not work here.
 
Thanks for your help!
 
kind regards, 
 
Martijn W Heymans

Faculty of Earth and Life Sciences

Institute of Health Sciences

Department of Methodology and Applied Biostatistics
VU University 

Amsterdam, the Netherlands

[[alternative HTML version deleted]]

______________________________________________
R-help&lt; at &gt;r-project.org mailing list
https://stat.ethz.ch/mailman/listinf</description>
    <dc:creator>Heymans, M.W.</dc:creator>
    <dc:date>2008-12-01T14:50:40</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133012">
    <title>Question about the rgroup option in Hmisc latex function</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133012</link>
    <description>Is there a way to use the rgroup option without creating horizontal
rules separating the groups?

For example, say I have the following matrix containing sample sizes,
means, and standard deviations, for three groups of male and female
participants:

       n   Mean    SD
Male   "2" "0.703" "-0.809"
Female "3" "0.533" "-0.376"
Male   "2" "2.097" "-0.534"
Female "3" "0.843" " 0.966"
Male   "2" "0.350" " 0.149"
Female "3" "0.685" " 0.600"

I try typesetting the table with


which results in

\ctable[ caption={Means and standard deviations by condition and sex},
label=tab:descript, pos=!tbp, ]{llll} {}
{\FL\multicolumn{1}{l}{Condition}&amp;
\multicolumn{1}{c}{n}&amp;
\multicolumn{1}{c}{Mean}&amp;
\multicolumn{1}{c}{SD}
\ML
{\bfseries One}&amp;&amp;&amp;\NN
~~Male&amp;2&amp;0.703&amp;-0.809\NN
~~Female&amp;3&amp;0.533&amp;-0.376
\ML
{\bfseries Two}&amp;&amp;&amp;\NN
~~Male&amp;2&amp;2.097&amp;-0.534\NN
~~Female&amp;3&amp;0.843&amp; 0.966
\ML
{\bfseries Three}&amp;&amp;&amp;\NN
~~Male&amp;2&amp;0.350&amp; 0.149\NN
~~Female&amp;3&amp;0.685&amp; 0.600
\LL
}

but I want

\ctable[ caption={Means and standard deviations by condition an</description>
    <dc:creator>Ista Zahn</dc:creator>
    <dc:date>2008-12-01T12:24:09</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133010">
    <title>Coercing a list of variables in a function call</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133010</link>
    <description>This is hopefully a trivial problem for list subscribers, but I am very
new to writing R functions.
I wish to call an R function written by myself from another program to
fit a model. I need
to tell it which of the independent variables are factors. I need to do
this in a generic way, 
so that when the list is passed, R will work through the variables in
the data frame and coerce them into being factors.

This is what I tried ...

# Fictitious data for illustration
y&lt;-c(1,2.1,3.3,4.3,5,6.5)
x1&lt;-c(1,1,1,2,2,2)
x2&lt;-c(1,2,3,1,2,3)
x3&lt;-c(1,3,2,4,2,4)
d&lt;-as.data.frame(cbind(y,x1,x2,x3))
#Function definition
model_it=function(data=" ", model=" ", factors=list()){
         attach(d) #Attach the data
         formula&lt;-as.formula(model) #Set up the model
#Identify the factors
         if (length(factors)&gt;0) for(i in 1:length(factors)){
                                   factors[i]&lt;-as.factor(factors[i])
                                   }
#Fit the model
         glm(formula, data=data)
}
#Function call attempted
mod</description>
    <dc:creator>Philip Whittall</dc:creator>
    <dc:date>2008-12-01T12:09:41</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133009">
    <title>2D density tophat</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133009</link>
    <description>Hello R users,

I have successfully created a square (or more generally, rectangular)  
tophat smoothing routine based on altering the already available  
KDE2D. I would be keen to implement a circular tophat routine also,  
however this appears to be much more difficult to write efficiently (I  
have a routine, but it's very slow). I tried to create one based on  
using crossdist (in spatstat) to create a distance matrix between my  
data and the sampling grid, but it doesn't take a particularly large  
amount of data (or hi-res grid) for memory to be a big problem. The 2D  
density routines I have been able to find either don't support a  
simple tophat, or don't use the absolute distances between the  
sampling grid and the data. Should anyone know of more general 2D  
density routines that might support circular tophats, or know of a  
simple and efficient method for creating them, I would be very grateful.

Thanks for your time,

Aaron

PS: I tried sending this on Friday originally, but as far as I know</description>
    <dc:creator>Aaron Robotham</dc:creator>
    <dc:date>2008-12-01T11:46:05</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/133006">
    <title>request: how to assign alphabets to integer values</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/133006</link>
    <description>Dear R community
I am trying to assign alphabets to integer values 1, 2, 3 etc. in y given below. Can any body suggest some simple way to do the same job?

ds=iris; dl=nrow(ds)
c1=ds[,1]; c2=ds[,2]; c3=ds[,3]; c4=ds[,4]; c5=ds[,5]; iris=cbind(c1,c2,c3,c4,c5)
y=iris[,5]
y1=which(y==1); y[y1] &lt;- c("a"); y2=which(y==2); y[y2] &lt;- c("b"); y3=which(y==3); y[y3] &lt;- c("c"); 
iris=cbind(c1,c2,c3,c4,y)

Thnks and best regards
M. Azam


      
[[alternative HTML version deleted]]

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
</description>
    <dc:creator>Muhammad Azam</dc:creator>
    <dc:date>2008-12-01T09:35:01</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132996">
    <title>how to ignore errors</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132996</link>
    <description>  Dear listers,

  Hi .

  I googled before I ask this question in case to avoid violating the  
"list law". The question was proposed by somebody else but nobody  
gives a proper solution.

  How to ignore errors in a R loop? I have a R source file ,namely,  
test.r.
  I ran a loop in a command line

  &gt; for(i in 1 : 100 ) {source("test.r",echo =T ) }

  and I found that when test.r have some error the loop will stop, but  
test.r is just stochastically wrong,i.e., sometimes it works well if  
no bad values return.
  I want to know how to ignore such errors and let the loop continue.

thanks in advance.
_______________________

Jiang Peng, Ph.D. Candidate
Department of Mathematics &amp;
Antai college of Economics and Management
Shanghai Jiao Tong University
Address: Room 431, #3 Building, Xuhui Campus
E-mail: jp021 at sjtu.edu.cn
              jp021 at 126.com
MSN: jp021 at hotmail.com
iChat: mathfrog at mac.com
Mobile: +86-138 168 780 95

______________________________________________
R-help&lt; at &gt;r-project.org mail</description>
    <dc:creator>Jiang Peng</dc:creator>
    <dc:date>2008-12-01T08:17:26</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132990">
    <title>factanal question</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132990</link>
    <description>Dear R users:
I'm wondering if it's possible to get the residual correlation matrix when using factanal.
Since factanal assumes that the errors are normally distributed and independent (provided the factor model fits the data) this would be useful. Of course you would need to submit the data to the function to get the residuals (not just their correlation matrix), but it should be possible to get the residual correlation matrix if only the data correlation matrix is provided.
Don McNeil

______________________________________________
R-help&lt; at &gt;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.

</description>
    <dc:creator>Don McNeil</dc:creator>
    <dc:date>2008-12-01T04:38:44</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132988">
    <title>Attempting to get a STELLA model into R</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132988</link>
    <description>To whomever may be of help,

I am a student in a graduate modeling class at the University of North Carolina at Wilmington. I am trying to get a STELLA model converted into R. I am in the process of trying to 're-write' the script into R, but I seem to be missing pieces (i.e. parm values) that are keeping me from being able to replicate this model into R. Does anyone have an idea of a possible solution to my problem? Are there conversion programs or packages available that can convert STELLA models into R format?

Thank you very much for you time, and I hope to hear back from you soon.

-Tyler Gibson

tfg5854&lt; at &gt;uncw.edu
______________________________________________
R-help&lt; at &gt;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.

</description>
    <dc:creator>Gibson, Tyler F</dc:creator>
    <dc:date>2008-12-01T01:02:37</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132984">
    <title>How to make a banner table.</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132984</link>
    <description>I have a dataframe with the following variables:

idnumareagenderraceetc.

I would like to make a table that looks like

areagenderrace
M  FB W A
14  53 5 1
26  7    4 6 3

etc.

Basically, I want to make a single broad table with a number of sub-set
tables. I have tried:

cbind(table(area, gender), table(area, race))

But, when I do this, I lose the labels gender / race. This makes it a
lot harder to understand my factor labels. when I use cbind, I get this:

M  F B W A
1 4  5 3 5 1
2 6  7 4 6 3

Although, it is technically correct, I really want to keep my factor
labels. I also tried this with xtabs and get the same results. Any
ideas? I saw a relatively recent thread asking a similar question, but
the proposed solution did not work for me, so I thought I would ask the
questions again.

If I am missing someting terribly obvious, I apologize.

thanks.


</description>
    <dc:creator>Andrew Choens</dc:creator>
    <dc:date>2008-12-01T03:41:11</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132983">
    <title>explaining a model with rcs() terms</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132983</link>
    <description>Hi, I am using the rcs() function in the Design library to model
non-linearity that is not well characterized by an otherwise
mechanistic function. I am able to make the model 'available' to
others through the excellent nomogram() function and the set of tables
that it can create. However, I would like to present the model in an
'expanded' format-- probably what rcspline.restate() or latex.Design()
produce on a model fit object.

Here is how the model was fit:

fit.ols &lt;- ols( log(k) ~ (rcs(activity) * (log(conc) + sar)) +
(rcs(sand) * (log(conc) + sar)), data=sm.clean, x=TRUE, y=TRUE)

Here is how I am accessing the 'expanded' format of the model structure:

options(digits=3)
latex(fit.ols, file='fit_rcs.tex')

The output contains several notation elements that I am not familiar with:

1. x_{+}  --&gt; it seems that this represent a term that should be set
to 0, when x is 0?
i.e.  the entire expression   −453(activity − 0.842)_{+}^{3}  = 0 when
'activity' = 0 ??

2. the '!x' found in :

+log(conc) [ −0.0</description>
    <dc:creator>Dylan Beaudette</dc:creator>
    <dc:date>2008-12-01T03:23:54</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132976">
    <title>Rserve and creating a list of lists</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132976</link>
    <description>Hello,
I have some code which generates lattice objects. The function  
recieves serialized forms of the lattice objects which it then  
unserializes and then adds to an ArrayList&lt;REXP&gt;.

REXPRaw rser = new REXPRaw( target );  //target contains the raw  
serialized forms of lattice objects
rconn.assign("temp",rser);
REXP ret = rconn.eval("invisible(unserialize(temp))"); (1)
rexpArr.add(ret);
RList rlist = new RList(rexpArr);
REXPList rl = new REXPList(rlist);

The problem is when I do an assign

rconn.assign("finalresult",rl);

whence I get
*** REXPFactory unable to interpret  
org.rosuda.REngine.REXPUnknown&lt; at &gt;1629ce8c[4] *
** REXPFactory unable to interpret  
org.rosuda.REngine.REXPUnknown&lt; at &gt;1629ce8c[4]
*** REXPFactory unable to interpret  
org.rosuda.REngine.REXPUnknown&lt; at &gt;1629ce8c[4]
*** REXPFactory unable to interpret  
org.rosuda.REngine.REXPUnknown&lt; at &gt;1629ce8c[4]
*** REXPFactory unable to interpret  
org.rosuda.REngine.REXPUnknown&lt; at &gt;1629ce8c[4] *
** REXPFactory unable to interpret  
org.rosuda.REn</description>
    <dc:creator>Saptarshi Guha</dc:creator>
    <dc:date>2008-11-30T22:53:09</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132973">
    <title>controlling the number of times a script is repeated in a loop</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132973</link>
    <description>I am running a large for loop and at the end of each iteration a matrix is produced.  The program changes the columns in the matrix, and each time a column is added the name of that column is "y".  All original columns have no column name.  Due to the nature of the program, all original columns will eventually be replaced with new columns each with the column name "y". It is at this point that I want the program to stop running the for loop (right now I just have it running for 20 iterations resulting in a matrix with a mix of old and new columns).  I was thinking maybe I could do something with an if else statement and the command colnames.  For example:

If(colnames all are "y") (stop) else (run the program again)

Not entirely sure how to go about this though, or if I am even on the right track.  Maybe I need to get rid of the master for loop as perhaps for loops are more constraining in the number of times the program is run?  The number of runs to get all original columns replaced with new ones will nev</description>
    <dc:creator>Salas, Andria Kay</dc:creator>
    <dc:date>2008-11-30T18:21:00</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132961">
    <title>how to select cases based on value of one or more variables</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132961</link>
    <description>dear list,

I have read a spss file with read.spss()

now I have a list with all my variable stored as vectors.

is it possible to selec cases based on the value of one or more  
variables?

thank you,
Simone

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and provide commented, minimal, self-contained, reproducible code.

</description>
    <dc:creator>Simone Gabbriellini</dc:creator>
    <dc:date>2008-11-30T20:36:53</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132959">
    <title>Randomization of a two-way ANOVA?</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132959</link>
    <description>
Hello list,

I wish to perform a randomization test on the F-statistics of a 2 way ANOVA
but have not been able to find out how to do so - is there a package  /
function that can perform this that I am unaware of? 

FactorA has 6 levels (0,1,2,3,4,5) whereas FactorB has 3 (1,2,3). A sample:

Resp.FactorAFactorB
202
312
122
032
042
052
401
611
121
031
141
051
202
312
122
232
142
052
301
311
121
031
041
713
223
033
143
053
103

Also, is the F-statistic an appropriate test-statistic for the randomization
test when it is computed using non-normal data?

Any insight into this issue would be much appreciated.
Thanks.

</description>
    <dc:creator>Joe Ratster</dc:creator>
    <dc:date>2008-11-30T20:22:01</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132956">
    <title>using survey weights for correlations</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132956</link>
    <description>Dear list,
I have a data file which includes, alongside various variables representing questionnaire scores, a variable for survey weights computed as the number of observations in the sample drawn from that group divided by the number of observations in the population in the group. I need to calculate a covariance matrix of the questionnaire scores for use in sem. How do I apply the weights?
Thanks in advance,
Steve Powell

www.promente.org

proMENTE social research

Krančevićeva 35
71000 Sarajevo

skype stevepowell99
mob. +387 61 215 997
tel. +387 33 556 865
fax. +387 33 556 866

______________________________________________
R-help&lt; at &gt;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.
</description>
    <dc:creator>Steve Powell</dc:creator>
    <dc:date>2008-11-30T19:41:10</dc:date>
  </item>
  <item rdf:about="http://comments.gmane.org/gmane.comp.lang.r.general/132955">
    <title>Graphics for proportion within factor</title>
    <link>http://comments.gmane.org/gmane.comp.lang.r.general/132955</link>
    <description>  BODY { font-family:Arial, Helvetica, sans-serif;font-size:12px; }I
am looking to draw what I hoped was a simple plot of proportion WITHIN
a strata, save % males by site. I seem to be able to get proportion of
males, by
 site, where the proportion is across the whole dataset, but not the
proportion within each site.
 thanks in advance,
 Rob
 
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

</description>
    <dc:creator>Rob James</dc:creator>
    <dc:date>2008-11-30T19:36:47</dc:date>
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