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hardhat (version 1.3.1)

standardize: Standardize the outcome

Description

Most of the time, the input to a model should be flexible enough to capture a number of different input types from the user. standardize() focuses on capturing the flexibility in the outcome.

Usage

standardize(y)

Value

All possible values of y are transformed into a tibble for standardization. Vectors are transformed into a tibble with a single column named ".outcome".

Arguments

y

The outcome. This can be:

  • A factor vector

  • A numeric vector

  • A 1D numeric array

  • A numeric matrix with column names

  • A 2D numeric array with column names

  • A data frame with numeric or factor columns

Details

standardize() is called from mold() when using an XY interface (i.e. a y argument was supplied).

Examples

Run this code
standardize(1:5)

standardize(factor(letters[1:5]))

mat <- matrix(1:10, ncol = 2)
colnames(mat) <- c("a", "b")
standardize(mat)

df <- data.frame(x = 1:5, y = 6:10)
standardize(df)

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