hardhat (version 1.1.0)

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)

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

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".

Details

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

Examples

# NOT RUN {
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)
# }