matrix.standardize: Creates a standardized matrix.

In adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models

Creates a standardized matrix.

Description

Creates a standardized matrix.

Usage

matrix.standardize(
  mat,
  centers = NULL,
  scales = NULL,
  weights = NULL,
  ddof = 0,
  n_threads = 1
)

Arguments

mat	An adelie matrix.
centers	The center values. Default is to use the column means.
scales	The scale values. Default is to use the sample standard deviations.
weights	Observation weight vector, which defaults to 1/n per observation.
ddof	Degrees of freedom for standard deviations, with default 0 (1/n). The alternative is 1 leading to 1/(n-1).
n_threads	Number of threads.

Value

Standardized matrix. The object is an S4 class with methods for efficient computation by adelie.

Author(s)

James Yang, Trevor Hastie, and Balasubramanian Narasimhan
Maintainer: Trevor Hastie [e-mail]

Examples

n <- 100
p <- 20
X <- matrix(rnorm(n * p), n, p)
out <- matrix.standardize(matrix.dense(X))

adelie documentation built on Sept. 11, 2024, 6:36 p.m.