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

[Roger D. Peng]

I would use the subset() function.  Assuming the data frame has variable 
names "Gender" and "Age", you could do:

Y1 <- subset(X, Gender == 1 & Age >= 18 & Age <= 40)
Y2 <- subset(X, Gender == 0 & Age >= 20 & Age <= 30)

-roger

Francisco J. Bido wrote:

> 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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