normF: Compute the Frobenius norm of a matrix
In fungible: Psychometric Functions from the Waller Lab
normF R Documentation
Compute the Frobenius norm of a matrix
Description
A function to compute the Frobenius norm of a matrix
Usage
normF(X)
Arguments
X
A matrix.
Value
The Frobenius norm of X.
Author(s)
Niels Waller
Examples
data(BadRLG)
out <- smoothLG(R = BadRLG, Penalty = 50000)
cat("\nGradient at solution:", out$gr,"\n")
cat("\nNearest Correlation Matrix\n")
print( round(out$RLG,8) )
cat("\nFrobenius norm of (NPD - PSD) matrix\n")
print(normF(BadRLG - out$RLG ))
fungible documentation built on May 29, 2024, 8:28 a.m.
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| normF | R Documentation |
Compute the Frobenius norm of a matrix
Description
A function to compute the Frobenius norm of a matrix
Usage
normF(X)
Arguments
X |
A matrix. |
Value
The Frobenius norm of X.
Author(s)
Niels Waller
Examples
data(BadRLG)
out <- smoothLG(R = BadRLG, Penalty = 50000)
cat("\nGradient at solution:", out$gr,"\n")
cat("\nNearest Correlation Matrix\n")
print( round(out$RLG,8) )
cat("\nFrobenius norm of (NPD - PSD) matrix\n")
print(normF(BadRLG - out$RLG ))
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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