normc: default normalization function for matrix
In SplitKnockoff: Split Knockoffs for Structural Sparsity
normc R Documentation
default normalization function for matrix
Description
normalize columns of a matrix.
Usage
normc(X)
Arguments
X
the input martix
Value
Y: the output matrix
Examples
library(mvtnorm)
n = 350
p = 100
Sigma = matrix(0, p, p)
X <- rmvnorm(n,matrix(0, p, 1), Sigma)
X <- normc(X)
SplitKnockoff documentation built on Oct. 14, 2024, 5:09 p.m.
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| normc | R Documentation |
default normalization function for matrix
Description
normalize columns of a matrix.
Usage
normc(X)
Arguments
X |
the input martix |
Value
Y: the output matrix
Examples
library(mvtnorm)
n = 350
p = 100
Sigma = matrix(0, p, p)
X <- rmvnorm(n,matrix(0, p, 1), Sigma)
X <- normc(X)
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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