Thanks everyone! I now see how to handle the situation. This has to be the most responsive mailing list ever...

Best,
-Francisco

On Friday, August 29, 2003, at 01:39 AM, Andrew Hayen wrote:

Also see this page: http://www.ats.ucla.edu/stat/SPLUS/faq/subset_R.htm

A

-----Original Message-----
From: Francisco J. Bido [mailto:[EMAIL PROTECTED]
Sent: Friday, 29 August 2003 4:10 PM
To: [EMAIL PROTECTED]
Subject: [R] Creating a new table from a set of constraints


Hi Everyone,


Here's a silly newbie question.  How do I remove unwanted rows from an
R table?  Say that I read my data as:

X <- read.table("mydata.txt")

and say that there are columns for age and gender.  Call these X[5] and
X[10], respectively.
Here, X[5]  is a column of positive integers and X[10] is binary valued
i.e., zero (for male) and one (for female)

Now, say that I want to form a new table called Y which has the
following constraints:

1.  Only females that are between 18 and 40 years old.
2.  Only males that are between 20 and 30 years old

I can do this using a typical procedural approach (no different than C
programmer would) but it seems
to me that R has many shortcuts and so I thought I ask first before
heading on an inefficient path. What's
a good way of doing this, my data set is very large?

Thanks,
-Francisco

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