dfscaling: Apply standard scaling and centering to the numeric features...

In UBC-MDS/Rmleda: R package that helps with preliminary eda for supervised machine learning tasks

Description

Each of the numeric columns will have a mean of 0 and standard deviation of 1 after the transformation.

Usage

dfscaling(df, target)

Arguments

df	Data Frame
target	name of the target column

Value

scaled_df Data Frame

Examples

df <- tidyr::tibble(x = 1:5,
                      y = seq(2,10, by = 2),
                      z = x ^ 2 + y,
                      target = c(1,1,0,1,0))

dfscaling(df, target)

UBC-MDS/Rmleda documentation built on March 29, 2021, 7:04 a.m.