glmnet: weighted_mean_sd – R documentation

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weighted_mean_sd

Helper function to compute weighted mean and standard deviation

Description

Helper function to compute weighted mean and standard deviation. Deals gracefully whether x is sparse matrix or not.

Usage

weighted_mean_sd(x, weights = rep(1, nrow(x)))

Arguments

`x`	Observation matrix.
`weights`	Optional weight vector.

Value

A list with components.

`mean`	vector of weighted means of columns of x
`sd`	vector of weighted standard deviations of columns of x

glmnet

Lasso and Elastic-Net Regularized Generalized Linear Models

v4.1-1

GPL-2

Authors

Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb]

Initial release

2021-02-17