[R] Subsets without NA

[Kjetilh Halvorsen]

But you can use the inbuilt function complete.cases().

Kjetil Halvorsen


This function removes all rows
> with at least one NA:
> (x is a mtrix)
> 
>> no.na.mat
> function(x)
> {
>         resultado <- x[!is.na(abs(x) %*% rep(1, ncol(x))),  ]
>         resultado
> }
> 
> i.e.:
> 
>> mat <- matrix(1:12,ncol=3)
>> mat
>      [,1] [,2] [,3]
> [1,]    1    5    9
> [2,]    2    6   10
> [3,]    3    7   11
> [4,]    4    8   12
>> mat [1,1] <- NA
>> mat [2,c(2,3)] <- NA
>> mat
>      [,1] [,2] [,3]
> [1,]   NA    5    9
> [2,]    2   NA   NA
> [3,]    3    7   11
> [4,]    4    8   12
>> no.na.mat(mat)
>      [,1] [,2] [,3]
> [1,]    3    7   11
> [2,]    4    8   12
>> 
> 
> Hope it helps
> 
> Agus
> 
> Dr. Agustin Lobo
> Instituto de Ciencias de la Tierra (CSIC)
> Lluis Sole Sabaris s/n
> 08028 Barcelona SPAIN
> tel 34 93409 5410
> fax 34 93411 0012
> alobo at ija.csic.es
> 
> 
> On Tue, 8 Jan 2002, Grum, Mikkel wrote:
> 
>> Is there a way of removing all rows with missing values from a data
>> frame? I usually use 
>> subset(x, var1!="NA") 
>> and repeat for each variable.  It would be nice to be able to do it in
>> one fell swoop.  Also, surprisingly, it doesn't always work. 
>> Sometimes I'm left with an empty set even though not all rows have
>> missing values for the variable.
>> 
>> Cheers,
>> mikkel
>> 
>> 
>> 
>> 
>> 
>> Mikkel Grum, PhD
>> Genetic Diversity Scientist
>> International Plant Genetic Resources Institute (IPGRI)
>> Sub-Saharan Africa Group
>> ***
>> c/o ICRAF
>> PO Box 30677 Nairobi, Kenya
>> Tel: 254 2 524505 / 524500
>> Fax: 254 2 524501 / 524001
>> m.grum at cgiar.org
>> ipgri-kenya at cgiar.org
>> www.ipgri.cgiar.org
>> 
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