calc_cofactor: Function to calculate a cofactor matrix
In okayaa/MT: Methods in Mahalanobis-Taguchi (MT) System
Description
Usage
Arguments
Value
See Also
Examples
Description
calc_cofactor calculates a cofactor matrix.
Usage
1
Arguments
data
Matrix with n rows (samples) and p columns (variables). All data
should be continuous values and should not have missing values.
Value
calc_cofactor returns a cofactor matrix of size p x p.
See Also
Examples
1
2
3
4
5
# 40 data for versicolor in the iris dataset
iris_versicolor <- iris[61:100, -5]
calc_cofactor(cov(iris_versicolor))
okayaa/MT documentation built on March 15, 2021, 8:41 a.m.
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Description Usage Arguments Value See Also Examples
Description
calc_cofactor calculates a cofactor matrix.
Usage
1 |
Arguments
data |
Matrix with n rows (samples) and p columns (variables). All data should be continuous values and should not have missing values. |
Value
calc_cofactor returns a cofactor matrix of size p x p.
See Also
Examples
1 2 3 4 5 | # 40 data for versicolor in the iris dataset
iris_versicolor <- iris[61:100, -5]
calc_cofactor(cov(iris_versicolor))
|
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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