look at function ?complete.cases(), e.g.,
a[complete.cases(a), ]
will do the work in your case.
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
----- Original Message -----
From: "Clark Allan" <Allan at stats.uct.ac.za>
To: <r-help at stat.math.ethz.ch>
Cc: "Birgit Erni" <berni at stats.uct.ac.za>
Sent: Thursday, September 15, 2005 10:22 AM
Subject: [R] R: deleting rows
> hi all
>
> hopefully some one can help.
>
>
> assume that i imported the following data into R (say the data frame
> is
> called a)
>
> x1 x2 x3
> 1 NA 3
> 1 2 NA
> 1 2 3
> 3 NA 6
> 4 5 9
> 7 5 6
> 7 8 9
> NA 7 9
>
>
> How can i construct a new data frame that only contains those rows
> that
> does not contain the NA's? is these a quick way?
>
> ie
>
> x1 x2 x3
> 1 2 3
> 4 5 9
> 7 5 6
> 7 8 9
>
>
> in this example we can simple use a[c(-1,-2,-4,-8),] but happens if
> we
> have a larger dataframe?
>
> we need to construct some kind of row indicator telling R which rows
> contains NA'S.
>
> is there an easier method?
>
> /
> allan
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