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.
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