Details of *what* didn't work would be helpful, like for example
error messages.
Regardless, I'd do it like this:
subd <- d[, d$gene %in% c("i1","i2","i3"), ]
> d
gene 1 2 3
1 i1 1 6 11
2 i5 2 7 12
3 i2 3 8 13
4 i3 4 9 14
5 i1 5 10 15
> d[d$gene %in% c("i1","i2","i3"), ]
gene 1 2 3
1 i1 1 6 11
3 i2 3 8 13
4 i3 4 9 14
5 i1 5 10 15
Sarah
On Wed, Dec 29, 2010 at 5:29 PM, ANJAN PURKAYASTHA
<anjan.purkayas...@gmail.com> wrote:
> nope, that did not work.
> thanks though.1"
> Anjan
>
> On Wed, Dec 29, 2010 at 5:02 PM, Jonathan Flowers <
> jonathanmflow...@gmail.com> wrote:
>
>> Try subd <- d[, "gene" == c("i1","i2","i3")]
>>
>> On Wed, Dec 29, 2010 at 4:55 PM, ANJAN PURKAYASTHA <
>> anjan.purkayas...@gmail.com> wrote:
>>
>>> Hi,
>>> I'm having a problem with a step that should be pretty simple.
>>> I have a dataframe, d, with column names : gene s1 s2 s3. The column
>>> "gene"
>>> stores an Id; the rest of the columns store intensity data.
>>> I would like to extract the rows for gene Ids i1, i2, i3 ( I know a priori
>>> that those rows exist).
>>> So I do this:
>>> subset(d, gene %in% c(i1, i2, i3)).
>>> This does not give me the required data.
>>> Any ideas where I am going wrong?
>>> TIA,
>>> Anjan
>>>
--
Sarah Goslee
http://www.functionaldiversity.org
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