Hi Anjan,
Please consider the following example:
> x <- c(2, rep(1, 10))
> all(x == 1)
[1] FALSE
> d <- replicate(10, sample(x, replace = TRUE))
> d
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 1 1 1 1 1 2 1 1 1
[2,] 1 1 1 2 1 2 1 2 1 1
[3,] 1 1 1 1 1 1 1 1 1 1
[4,] 1 1 1 1 1 1 1 1 2 1
[5,] 1 1 1 1 2 1 1 1 1 1
[6,] 2 1 1 1 1 1 1 1 1 1
[7,] 1 1 1 1 1 1 1 1 2 1
[8,] 1 1 2 1 1 1 1 1 1 1
[9,] 1 2 2 1 2 1 1 1 2 1
[10,] 1 1 1 1 1 1 1 1 1 1
[11,] 1 1 1 1 1 1 1 1 1 1
> d[apply(d, 1, function(v) all(v==1)), ]
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 1 1 1 1 1 1 1 1 1
[2,] 1 1 1 1 1 1 1 1 1 1
[3,] 1 1 1 1 1 1 1 1 1 1
HTH,
Jorge
On Sun, Oct 24, 2010 at 1:32 PM, ANJAN PURKAYASTHA <> wrote:
> Hi,
> I have a dataframe with 43 columns and a 1000 rows. Each entry in the
> dataframe can be either P or A.
> here is a small chunk:
> c1 c2 ... c43
> r100 P A ... P
> r101 A A ... A
> r102 P P ... P
>
> How does one subset this data frame to select those rows that have only P's
> in them?
>
> Thanks in advance.
> Anjan
>
>
>
>
> --
> ===================================
> anjan purkayastha, phd.
> research associate
> fas center for systems biology,
> harvard university
> 52 oxford street
> cambridge ma 02138
> phone-703.740.6939
> ===================================
>
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>
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