cov_diag_check: Covariance Diagonal Check
In TheLondonPeacock/SeaClass: Interactive GUI for analyzing a binary response variable
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Identifies any zero entries along the diagonal of a matrix.
Usage
1
Arguments
cov
a matrix.
Details
Intended to be a helper function for flagging zero variance variables whenever the input is a covariance matrix. A covariance matrix containing zeros on the diagonal will be singular; and hence, non-invertible.
Value
remove_vars locations of zero entries.
remove_length number of zero entries.
remove_text a message detailing an action taken by the covariance check wrapper function cov_check().
See Also
Examples
1
2
3
4
cov1 <- diag(c(1,0,3,0))
cov2 <- diag(1:4)
cov_diag_check(cov1)
cov_diag_check(cov2)
TheLondonPeacock/SeaClass documentation built on May 8, 2019, 3:42 p.m.
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Description Usage Arguments Details Value See Also Examples
Description
Identifies any zero entries along the diagonal of a matrix.
Usage
1 |
Arguments
cov |
a matrix. |
Details
Intended to be a helper function for flagging zero variance variables whenever the input is a covariance matrix. A covariance matrix containing zeros on the diagonal will be singular; and hence, non-invertible.
Value
remove_varslocations of zero entries.remove_lengthnumber of zero entries.remove_texta message detailing an action taken by the covariance check wrapper functioncov_check().
See Also
Examples
1 2 3 4 | cov1 <- diag(c(1,0,3,0))
cov2 <- diag(1:4)
cov_diag_check(cov1)
cov_diag_check(cov2)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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