weighted_mean_sd: Helper function to compute weighted mean and standard...
In glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models
weighted_mean_sd R Documentation
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 documentation built on Aug. 22, 2023, 9:12 a.m.
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| weighted_mean_sd | R Documentation |
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 |
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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