rk in the future.
>
> Regards
>
> John
>
> -Original Message-
> From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
> Sent: Monday, 3 October 2011 6:36 PM
> To: Morrongiello, John (CMAR, Hobart); r-help@r-project.org
> Subject: RE: [R] new standardised variable ba
> Regards
>
> John
>
> -Original Message-
> From: ONKELINX, Thierry [mailto:thierry.onkel...@inbo.be]
> Sent: Monday, 3 October 2011 6:36 PM
> To: Morrongiello, John (CMAR, Hobart); r-help@r-project.org
> Subject: RE: [R] new standardised variable based on group membership
>
ello, John (CMAR, Hobart); r-help@r-project.org
Subject: RE: [R] new standardised variable based on group membership
Dear John,
You need to combine scale with a grouping function.
data(Orange)
library(plyr)
Orange <- ddply(Orange, .(Tree), function(x){
x$ddplyAge <- scale(x$age
ge$aveAge)
Best regards,
Thierry
> -Oorspronkelijk bericht-
> Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> Namens john.morrongie...@csiro.au
> Verzonden: maandag 3 oktober 2011 7:34
> Aan: r-help@r-project.org
> Onderwerp: [R] new standardi
Hi
I have a data comprised of repeated measures of growth (5-15 records per
individual) for 580 fish (similar to Orange dataset from nlme library). I would
like to standardise these growth measures (yi â Å·/sd) using mean and
standard deviation unique to each fish. Can someone suggest a functi
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