Message-ID: <Pine.A41.4.44.0212161223140.21186-100000@homer18.u.washington.edu>
Date: 2002-12-16T21:27:03Z
From: Thomas Lumley
Subject: Manipulating the output from read.spss
In-Reply-To: <1a1.d7e7b6a.2b2f8c05@aol.com>
On Mon, 16 Dec 2002 SMarkandsusan at aol.com wrote:
> This seems like a problem that others may have run into before. I got a
> merged dataset from SPSS. It has ~750 columns X 3400 rows. Most of the cell
> entries are NA. There are about 375 rows that contain observations on all
> variables and I want to extract this subset from the original list (of
> lists). I'm pretty sure I can do it programmatically in R but it will take me
> a few hours to write and debug. Before I start down that road I thought I'd
> ask if anyone had already tackled this particular type problem already.
The na.omit() function removes rows from a dataframe that have any missing
values.
-thomas