Have a look at str(df). Those values are being interpreted as factors not
numbers. I don't think this is what you want.
--- On Mon, 6/29/09, Serguei Kaniovski wrote:
> From: Serguei Kaniovski
> Subject: Re: [R] Compute correlation matrix for panel data with specific
> or
I apologize for not being specific enough in my previous posting. Assume
you have panel data in the form:
df <- data.frame( cbind( rep( c( "AUT" , "BEL" , "DEN" , "GER" ) , 4) ,
cbind( rep( c( 1999 , 2000 , 2001 , 2002 ) , 4 ) ), sample( 10 , 16 ,
replace=T) ) )
names(df) <- c( "country" , "y
Serguei Kaniovski wifo.ac.at> writes:
> Ok I see how to sort the factors, but how do I compute the correlation
> matrix in a repeated observations dataset (see the first part of my
> question)
"Repeated" observations? You must be more specific then. Which function are you
using (lme? Error()
Ok I see how to sort the factors, but how do I compute the correlation
matrix in a repeated observations dataset (see the first part of my
question)
Thanks again for your help!
Serge
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Serguei Kaniovski wifo.ac.at> writes:
>
> df <-
>
data.frame(cbind(rep(c("AUT","BEL","DEN","GER"),4),
cbind(rep(c(1999,2000,2001,2002),4)),sample(10,16,replace=T)))
> names(df) <- c("country","year","x")
>
> SORT <- c("GER","BEL","DEN","AUT")
>
> I need to compute the correlation between cou
Hello All,
I have a panel date - here a small-scale example:
df <-
data.frame(cbind(rep(c("AUT","BEL","DEN","GER"),4),cbind(rep(c(1999,2000,2001,2002),4)),sample(10,16,replace=T)))
names(df) <- c("country","year","x")
SORT <- c("GER","BEL","DEN","AUT")
I need to compute the correlation betwe
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