Re: [R] Reorganize data frame

From: Phil Spector <spector_at_stat.berkeley.edu>
Date: Wed, 16 Mar 2011 10:56:45 -0700 (PDT)

Here's one way:

> ans = reshape(stock.returns,idvar='Date',

+                varying=list(names(stock.returns)[-1]),
+                direction='long',
+                times=names(stock.returns)[-1],
+                v.names='Return',timevar='Ticker')

> rownames(ans) = NULL
> ans

       Date Ticker Return

1 20110301   MSFT   0.05
2 20110302   MSFT   0.01
3 20110301   GOOG  -0.01
4 20110302   GOOG   0.04

 					- Phil Spector
 					 Statistical Computing Facility
 					 Department of Statistics
 					 UC Berkeley
 					 spector_at_stat.berkeley.edu



On Wed, 16 Mar 2011, chris99 wrote:

> Hi group,
>
> I am trying to convert the organization of a data frame so I can do some
> correlations between stocks,
>
> I have something like this:
>
> stock.returns <-
> data.frame(rbind(c("MSFT","20110301",0.05),c("MSFT","20110302",0.01),c("GOOG","20110301",-0.01),c("GOOG","20110302",0.04)))
> colnames(stock.returns) <- c("Ticker","Date","Return")
> stock.returns
> Ticker Date Return
> 1 MSFT 20110301 0.05
> 2 MSFT 20110302 0.01
> 3 GOOG 20110301 -0.01
> 4 GOOG 20110302 0.04
>
>
> And want to convert it to this:
>
> stock.returns <-
> data.frame(rbind(c("20110301",0.05,-0.01),c("20110302",0.01,0.04)))
> colnames(stock.returns) <- c("Date","MSFT","GOOG")
> stock.returns
> Date MSFT GOOG
> 1 20110301 0.05 -0.01
> 2 20110302 0.01 0.04
>
>
> Can anyone offer any suggestions?
>
> Thanks,
> Chris
>
> --
> View this message in context: http://r.789695.n4.nabble.com/Reorganize-data-frame-tp3381929p3381929.html
> Sent from the R help mailing list archive at Nabble.com.
>
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>



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