[R] Sorting Data?

[Martin Klaffenboeck]

Am 27.05.2004 22:17:04 schrieb(en) Patrick Burns:
> First comment:  "F" is a bad name to use for an object as it
> masks the commonly used meaning of FALSE.

Oh, thanks, I just took F because 'Fragebogen' is such a long variable.   
But you are right, I will change that.

> You'll probably get some better answers, but you can ensure
> a standard order with:
> 
> Fsort <- Fdf[order(Fdf[, 'Code'], Fdf[, 'Family']), ]
> 
> And then perhaps use "reshape".

I will look at this closer.  Im now reshaping arround and don't know  
how I can then create a intercorrelation matrix or a (euklidic)  
distance matrix.

But thanks,
Martin

> Patrick Burns
> 
> Burns Statistics
> patrick at burns-stat.com
> +44 (0)20 8525 0696
> http://www.burns-stat.com
> (home of S Poetry and "A Guide for the Unwilling S User")
> 
> Martin Klaffenboeck wrote:
> 
>> Hello,
>> 
>> Im reading through some manuals, but I cannot find my answer.
>> 
>> I have a file containing many data:
>> 
>> Vpn    Code    Family    Age    F1    F2    ...    F17
>> 1    1    M    46    1    2    ...    1
>> 2    1    D    18    3    2    ...    4
>> 3    2    M    50    3    3    ...    3
>> ...
>> and so on.
>> 
>> Now I can read it by:
>> 
>> F = read.table("file", header=T)
>> 
>> but now I want to seperate the mothers (M) and daugthers (D) of the   
>> family with all the data in all other fields.  How can I do that?
>> 
>> The 'Code' Tells me which mother belongs to which dougther.  I want  
>> to  make a matrix where I have the mothers on one and the daugthers  
>> on the  other axis and compair the distance of every question (F1... 
>> F17) and  the distance of the sum of this questions.  The questions  
>> are semantic  differencials, 5 values.  F4, and F7 must have reverse  
>> polarity in this  case.
>> 
>> Hm.  How do I have to do now?
>> 
>> Thanks,
>> Martin
>> 
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