Reputation: 233
When I have tried to compute eigenvalues and eigenvectors for the following matrix using eigen() function, contrary my expectations, the smallest eigenvalue is not zero, why?
> lapMatrix
[,1] [,2] [,3] [,4]
[1,] 0.6 -0.1 -0.5 0.0
[2,] -0.1 1.0 0.0 -0.9
[3,] -0.5 0.0 1.0 -0.5
[4,] 0.0 -0.9 -0.5 1.4
> eigen(lapMatrix)
$values
[1] 2.277671e+00 1.241300e+00 4.810288e-01 1.297990e-16
$vectors
[,1] [,2] [,3] [,4]
[1,] 0.1359786 0.5205445 0.6786333 0.5
[2,] -0.5412623 0.3853145 -0.5554889 0.5
[3,] -0.3480021 -0.7447136 0.2725734 0.5
[4,] 0.7532858 -0.1611455 -0.3957179 0.5
Upvotes: 1
Views: 2157
Reputation: 121568
You can simply round the result:
round(eigen(mm)$values,2)
## [1] 2.28 1.24 0.48 0.00
You can wrap this within a small function :
reigen <-
function(...,digits =2) round(eigen(...)$values,digits)
Or using zapsmall
like suggested in the comment ( it will determine automatically the number of digits):
reigen <-
function(...,digits =2) zapsmall(eigen(...)$values)
reigen(mm)
[1] 2.278 1.241 0.481 0.000
Upvotes: 1