Then:
Set1.names <- c("MA1B1Cy5", "MA5B4Cy5")
Set1.data <- mydata[mydata$ID %in% Set1.names, ]
On Wed, Jun 13, 2012 at 12:15 PM, Joshua Budman <josh.bud...@gmail.com> wrote:
> This is a sample of the data:
> ID chrom loc.start loc.end
> 1 MA1B1Cy5 chr1 197008581 197026781
> 18 MA1B3Cy5 chr1 197079541 197080381
> 55 MA5B2Cy5 chr1 197088651 197118071
> 70 MA5B2Cy5 chr1 197172341 197189641
> 72 MA5B3Cy5 chr1 197008581 197010601
> 89 MA5B4Cy5 chr1 197025421 197025701
> 104 MA5B4Cy5 chr1 197145601 197159111
>
> And I would like to put the rows which have, for instance, the "ID" MA1B1Cy5
> and MA5B4Cy5 in one data frame and then the rest of the rows in another data
> frame. My decision is based on whether these samples are "tumor" or
> "non-tumor" samples which I determine manually based on another document. I
> hope this helps and thank you in advance!
>
> On 13-Jun-12, at 12:02 PM, Sarah Goslee wrote:
>
> How are you deciding which values in the first column go into which subset?
>
> If you have a vector containing those values, you could use %in% or if
> they're determined logically you could use that criterion.
>
> A reproducible example and a bit more information would get you more
> concrete answers.
>
> Sarah
>
> On Wed, Jun 13, 2012 at 11:06 AM, Joshua Budman <josh.bud...@gmail.com>
> wrote:
>
> Hi
>
> I have a large data frame of the form:
>
> a 1
>
> b 2
>
> c 3
>
> And I would like to split this data frame into two separate data
>
> frames based on the values in the first column, e.g.
>
> a 1
>
> b 2
>
> and
>
> c 3
>
>
> Is there any way of doing this without having to write a different
>
> "which" statement for each value in column 1 and then doing an "rbind"
>
> at the end? I tried using an if/else statement using a lot of
>
> "||" but that did not work well either. Help would be much appreciated.
>
>
> Thanks,
>
> Josh
>
>
--
Sarah Goslee
http://www.functionaldiversity.org
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