On Wed, 2010-09-01 at 12:42 -0400, David Winsemius wrote:
> I suspect you might have tried (df-mean(df))/sd(x) and gotten
> unsatisfactory results; I know I did.
yes, indeed! a few times, but why is that?
> If you had really wanted to
> persist and do it from first principles, so to speak,
On Sep 1, 2010, at 10:42 AM, David Winsemius wrote:
On Sep 1, 2010, at 10:35 AM, Olga Lyashevska wrote:
Dear all,
I have a dataframe:
df<-dataframe(a=c(1,2,3),b=c(4,5,6),c=c(7,8,9),d=c(10,11,12))
I want to obtain a new dataframe with columns a and b being
standardized
((x-mean(x))/sd(x)
Thanks! It is exactly what I was looking for!
Cheers
Olga
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and provide commented, minimal, self
If you want to scale within columns, you could try
cbind( scale(df[,1:2]), df[ ,-c(1:2)] )
a b c d
1 -1 -1 7 10
2 0 0 8 11
3 1 1 9 12
and it is data.frame() btw.
On 01/09/2010 15:35, Olga Lyashevska wrote:
Dear all,
I have a dataframe:
df<-dataframe(a=c(1,2,3),b=c(4,5,6),c=c(7,
On Sep 1, 2010, at 10:35 AM, Olga Lyashevska wrote:
Dear all,
I have a dataframe:
df<-dataframe(a=c(1,2,3),b=c(4,5,6),c=c(7,8,9),d=c(10,11,12))
I want to obtain a new dataframe with columns a and b being
standardized
((x-mean(x))/sd(x)); the other two columns (c,d) I want to leave
unchange
Dear all,
I have a dataframe:
df<-dataframe(a=c(1,2,3),b=c(4,5,6),c=c(7,8,9),d=c(10,11,12))
I want to obtain a new dataframe with columns a and b being standardized
((x-mean(x))/sd(x)); the other two columns (c,d) I want to leave
unchanged. What is the best way to achieve this? I have been try
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