Hi,
Excuse me for asking this silly question. But I really couldn't understand
why cov() and ccov() don't work for my calculation of covariance matrix.
a <- matrix(1:8, 2, 4)
a
[,1] [,2] [,3] [,4]
[1,] 1 3 5 7
[2,] 2 4 6 8
> ccov(a)
Error in solve.default(cov, ...) :
Lapack routine dgesv: system is exactly singular
I also tried colume bind, but it still doesn't work.
> a1<- a[,1]
> a2 <- a[,2]
> a3<- a[,3]
> a4 <- a[,4]
> acomb <- cbind(a1,a2,a3,a4)
> acomb
a1 a2 a3 a4
[1,] 1 3 5 7
[2,] 2 4 6 8
> ccov(acomb)
Error in solve.default(cov, ...) :
Lapack routine dgesv: system is exactly singular
Yesterday, I used cov(), my function worked well. But today I ran the same
code, it returned an error like:
cov(td12)
Error in solve.default(cov, ...) :
system is computationally singular: reciprocal condition number =
1.97276e-24
In addition: Warning message:
'cov' is deprecated.
Use 'ccov' instead.
See help("Deprecated")
I don't know what is wrong, and I appreciate you kind help! Thank you!
Wendy
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