R help - Jul 2011 - creating a matrix of ranked column data

I have a data frame (gom) or a matrix of trace metal data and some other
observations from water column samples taken at sea (e.g., 19 samples
(rows), 19 variables)
I can calc. the rank individually from each column of the attached object.
How can I create a matrix that contains the ranked data for each variable
(either 1-19, ties=avg)?
For example:
>gom<-read.csv ("gomdata.csv")
>rank(Phaeo)
 [1]  3.5  1.0  2.0  5.0 15.0 19.0 12.0  7.0  3.5 13.0 17.5  9.0  6.0 14.0
16.0
[16] 11.0  9.0  9.0 17.5

I'd like to return an object (e.g., "gomr <-" ) that has each
column
individually ranked (for data normalization, btw).

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On Sun, Jul 17, 2011 at 11:18 AM, christian krahforst
<ckrahforst at gmail.com> wrote:
> I have a data frame (gom) or a matrix of trace metal data and some other
> observations from water column samples taken at sea (e.g., 19 samples
> (rows), 19 variables)
> I can calc. the rank individually from each column of the attached object.
> How can I create a matrix that contains the ranked data for each variable
> (either 1-19, ties=avg)?
> For example:
>>gom<-read.csv ("gomdata.csv")
>>rank(Phaeo)
> ?[1] ?3.5 ?1.0 ?2.0 ?5.0 15.0 19.0 12.0 ?7.0 ?3.5 13.0 17.5 ?9.0 ?6.0 14.0
> 16.0
> [16] 11.0 ?9.0 ?9.0 17.5
>
> I'd like to return an object (e.g., "gomr <-" ) that has
each column
> individually ranked (for data normalization, btw).
Try

apply(gom, 2, rank)

HTH,

Peter