standardize_continuous_in_place: Standardize Continuous Columns In Place

In bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

Standardize Continuous Columns In Place

Description

Standardizes selected numeric columns of a data.table in place using a z-score transformation. The function modifies DT by reference and stores the means and standard deviations used in an attribute called "standardization".

Usage

standardize_continuous_in_place(DT, cols, center = TRUE, scale = TRUE)

Arguments

DT	A data.table. It is modified by reference.
cols	Character vector of column names to standardize. Columns that are not present in DT or are not numeric are silently skipped.
center	Logical; whether to subtract the column mean.
scale	Logical; whether to divide by the column standard deviation.

Value

The modified data.table DT (invisibly), with an attribute "standardization" containing the means, standard deviations, and names of the standardized columns.

Examples

library(data.table)
DT <- data.table(x = rnorm(10), y = runif(10), z = 0:9)
standardize_continuous_in_place(DT, c("x", "y"))
attr(DT, "standardization")

bivarhr documentation built on July 7, 2026, 1:06 a.m.