and i.e pearson, kendal and
> spearman method)
>
>
> I would like to thank you in advance for your patience.
>
> Best Regards
> Alex
>
> --- On Wed, 1/19/11, Joshua Wiley wrote:
>
>> From: Joshua Wiley
>> Subject: Re: [R] How to find more about Covariance (in
Hi,
On Wed, Jan 19, 2011 at 9:59 AM, Alaios wrote:
> Dear Josh,
> I would like to thank you for your reply.
>
>
> I think that it is clear that I miss a lot of theory. I have tried in google
> to read and study more about covariance but I have this feeling that the term
> 'covariance' is used f
hat do not understand i.e pearson, kendal and
spearman method)
I would like to thank you in advance for your patience.
Best Regards
Alex
--- On Wed, 1/19/11, Joshua Wiley wrote:
> From: Joshua Wiley
> Subject: Re: [R] How to find more about Covariance (in R)
> To: "Alaios"
&
Hi Alex,
cov() uses the formula for a sample covariance. The denominator is N
- 1 instead of N. However, the formula you used from Wikipedia is for
a population covariance. To move between the two in this case:
cov(sr, sr) * (4/5) # should equal E[XX] - E[x] * E[x]
Cheers,
Josh
On Wed, Jan
Hello everyone,
I am trying to understand how covariance work. So I created a vector called
sr<-c(2,5,7,5,2)
so according to wikipedia Cov(X,X)=E[XX]-E[x]*E[x] which in R is
mean(sr*sr)-mean(sr)*mean(sr)
[1] 3.76
but also
cov(sr,sr)
[1] 4.7
why is this difference between these two approaches
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