DoubleStandardize: Function that double standardizes a matrix
In justicesuker/DMMD_Package: Double Matched Matrix Decomposition
View source: R/Preliminary_Functions.R
DoubleStandardize R Documentation
Function that double standardizes a matrix
Description
Function that double standardizes a matrix
Usage
DoubleStandardize(X, tol = .Machine$double.eps^0.5, maxIter = 500)
Arguments
X
Original matrix to be double-standardized
tol
Tolerance. Default is square root of machine precision
maxIter
Maximum iteration. Default is 500
Details
After double standardization, the matrix will have mean zero and (population) variance one for each row and column.
Value
A list that contains:
Result
The matrix after double standardization.
Iter
Number of iterations the function runs.
justicesuker/DMMD_Package documentation built on Aug. 6, 2022, 12:34 p.m.
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View source: R/Preliminary_Functions.R
| DoubleStandardize | R Documentation |
Function that double standardizes a matrix
Description
Function that double standardizes a matrix
Usage
DoubleStandardize(X, tol = .Machine$double.eps^0.5, maxIter = 500)
Arguments
X |
Original matrix to be double-standardized |
tol |
Tolerance. Default is square root of machine precision |
maxIter |
Maximum iteration. Default is 500 |
Details
After double standardization, the matrix will have mean zero and (population) variance one for each row and column.
Value
A list that contains:
Result |
The matrix after double standardization. |
Iter |
Number of iterations the function runs. |
R Package Documentation
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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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