norm_data: Normalize matrix per column in [0, 1]
In DMTL: Tools for Applying Distribution Mapping Based Transfer Learning

This function normalizes each column of a dataframe or matrix (-alike) between 0 and 1.

1	norm_data(X)

`X`	Dataframe or matrix (-alike) containing data.

The normalized dataframe.

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X <- matrix(rnorm(1000, 0.2, 0.3), nrow = 100)
X_norm <- norm_data(X)
print(range(X_norm))

DMTL documentation built on Feb. 18, 2021, 5:06 p.m.

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