R help - Jun 2004 - binary data

What's the preferred way in R for handling samples with binary data
(like chemical fingerprints encoded as hexadecimal strings with 0's and
1's indicating the absence or presence of chemical features) in methods
such as clustering and MDS. Do you always have to expand the fingerprint
data into individual variables (which can be a few hundreds) or can they
be used directly as binary data by some of these methods.

 

Thanks,  Moises

 


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I use NetCDF file format using ncdf package for binary data handling.
For more complex structure, HDF format will be better, which I do not try in
R.

Daehyok Shin
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at
stat.math.
> ethz.ch]On Behalf Of Moises Hassan
> Sent: Tuesday, June 08, 2004 PM 1:21
> To: R Help
> Subject: [R] binary data
>
>
> What's the preferred way in R for handling samples with binary data
> (like chemical fingerprints encoded as hexadecimal strings with 0's and
> 1's indicating the absence or presence of chemical features) in methods
> such as clustering and MDS. Do you always have to expand the fingerprint
> data into individual variables (which can be a few hundreds) or can they
> be used directly as binary data by some of these methods.
>
>
>
> Thanks,  Moises
>
>
>
>
> 	[[alternative HTML version deleted]]
>
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