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

[Dowkiw, Arnaud]

Hi Francisco,

what I would do :

names(X)[c(5,10)]<-c("Age","Gender")

Xnew1<-X[X$Gender==1 & X$Age>=18 & X$Age <=40,]

Xnew2<-X[X$Gender==0 & X$Age>=20 & X$Age <=30,]

Xnew<-rbind(Xnew1,Xnew2)

But there must be something more elegant,

Good luck,

Arnaud


-----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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