> -----Original Message-----
> From: R-help [mailto:[email protected]] On Behalf Of Luigi
> Marongiu
> if I have a sample set of the following numbers x1=0.09, x2=0.94, x3=0.48,
> x4=0.74, x5=0.04 I can calculate the variance easily.
Not without concatenating them into a vector, you can't. You need them in a
vector, as in
var( c(x1, x2, x3, x4, x5) )
> But if each x is actually a subset of multiple values, what would be the
> formula
> to calculate the variance? and it is possible to implement such mathematical
> function in R?
This is what R wants anyway, so the function you are looking for is var()
> For instance if I have the following: x1=(0.77, 0.22, 0.44), x2=(0.26, 0.89,
> 0.58),
> x3=(0.20, 0.25, 0.91), x4=(0.06, 0.13, 0.26) and x5=(0.65, 0.16, 0.72) how
> can i
> calculate the variance for each x?
var(x1)
var(x2)
....
or, if you want to be a bit more slick about it and do it in one line
lapply(list( x1, x2, x3, ...), var )
(or sapply() if you want a vector result)
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