normalize: Matrix Normalization
In amanpg: Alternating Manifold Proximal Gradient Method for Sparse PCA
normalize R Documentation
Matrix Normalization
Description
Center the input matrix to mean 0 and scale to Euclidean length 1
Usage
normalize(x, center=TRUE, scale=TRUE)
Arguments
x
matrix to be normalized
center
centers the input matrix to mean 0 if TRUE, default if TRUE
scale
scales the input matrix to Euclidean length 1 if TRUE, default is TRUE
Value
x
normalized matrix
Author(s)
Shixiang Chen, Justin Huang, Benjamin Jochem, Shiqian Ma, Lingzhou Xue and Hui Zou
amanpg documentation built on Oct. 2, 2022, 5:06 p.m.
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.
| normalize | R Documentation |
Matrix Normalization
Description
Center the input matrix to mean 0 and scale to Euclidean length 1
Usage
normalize(x, center=TRUE, scale=TRUE)
Arguments
x |
matrix to be normalized |
center |
centers the input matrix to mean 0 if TRUE, default if TRUE |
scale |
scales the input matrix to Euclidean length 1 if TRUE, default is TRUE |
Value
x |
normalized matrix |
Author(s)
Shixiang Chen, Justin Huang, Benjamin Jochem, Shiqian Ma, Lingzhou Xue and Hui Zou
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.