R help - Feb 2011 - mean and sd for a Dataframe

hi there,
I need to subtract each value in the dataframe from the mean of the column
and divide by the
standard deviation of the column.

> dim(a)
[1] 22011    52

data2 <- sapply(seq(from = 2, by = 1, length = 50), function(e){
rbind((a[[e]] - mean(a[,e]))/sd(a[,e]))
})

Does this look right????

Any help would be appreciated.

Thanks
RT


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On Feb 10, 2011, at 12:24 AM, Ramya wrote:
>
> hi there,
> I need to subtract each value in the dataframe from the mean of the  
> column
> and divide by the
> standard deviation of the column.
>
>
>> dim(a)
> [1] 22011    52
>
> data2 <- sapply(seq(from = 2, by = 1, length = 50), function(e){
> rbind((a[[e]] - mean(a[,e]))/sd(a[,e]))
> })
>
> Does this look right????
It looks like the "hard way" ( and it's not clear why one would
need
rbind, either):

?scale

scale(a)

>
> Any help would be appreciated.
>
> Thanks
> RT
>
>
> -- 
> View this message in context:
http://r.789695.n4.nabble.com/mean-and-sd-for-a-Dataframe-tp3298594p3298594.html
> Sent from the R help mailing list archive at Nabble.com.
>
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