[R] Creating a new table from a set of constraints

[Francisco J. Bido]

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:bido at mac.com]
> Sent: Friday, 29 August 2003 4:10 PM
> To: r-help at stat.math.ethz.ch
> 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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