normalize_and_split: Normalize and split two datasets using pooled mean and...

In HMC: High-Dimensional Mean Comparison with Projection and Cross-Fitting

Normalize and split two datasets using pooled mean and standard deviation

Description

Combines two datasets, normalizes features using pooled mean and standard deviation, and returns the normalized datasets separately.

Usage

normalize_and_split(df1, df2)

Arguments

df1	A data frame or matrix. Typically group 1.
df2	A data frame or matrix. Typically group 2.

Value

A list with elements:

df1

Normalized version of df1.

df2

Normalized version of df2.

Examples

set.seed(123)
df1 <- matrix(rnorm(20), nrow = 5)
df2 <- matrix(rnorm(20), nrow = 5)
normalize_and_split(df1, df2)

HMC documentation built on June 8, 2025, 10:32 a.m.