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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