Thanks David,

The crx.data is a different database and I would like to use both. I have 
contacted with the developer but he has not answered me.

Regards,

Esteban


________________________________

De: David Winsemius [mailto:dwinsem...@comcast.net]
Enviado el: miƩ 21/09/2011 17:08
Para: ESTEBAN ALFARO CORTES
CC: r-help@r-project.org
Asunto: Re: [R] Reading data in lisp format





If you think that R is loosely typed, then examining LiSP code will 
change your mind, or at least give you a new data point further out on 
the "Loose-Tight" axis. I think you will need to do the processing "by 
hand".

The organization of the data is fairly clear. There are logical 
columns with values :neg and :pos, categorical columns with values in 
(id <value>) pairs, numeric ones and then a group of computed columns 
at the bottom. It also appears that after the first enumeration of ids 
with logical values that subsequent logical variables are defined 
possibly with "pos:" values only.

So I guess the counter-question is: How important is this particular 
dataset to you??

And  further question might be, are you sure that you don't want the 
dataset that is right next to it: 
ftp://ftp.ics.uci.edu/pub/machine-learning-databases/credit-screening/crx.data

It is well-behaved comma-separated file.
--
David.

On Sep 21, 2011, at 6:39 AM, ESTEBAN ALFARO CORTES wrote:

> Hi,
>
> I am trying to read the "credit.lisp" file of the Japanese credit 
> database in UCI repository, but it is in lisp format which I do not 
> know how to read.  I  have not found how to do that in the foreign 
> library
>
> http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening 
> <http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening 
> >
>
> Could anyone help me?
>
> Best regards,
>
> Esteban Alfaro
>
> PS: This is my first time in r-help so I apologize for possible 
> inconveniences.
>
>
>
>
>       [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
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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.

David Winsemius, MD
West Hartford, CT




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