Standardize the outcome

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

standardize(1:5)
#> # A tibble: 5 × 1
#>   .outcome
#>      <int>
#> 1        1
#> 2        2
#> 3        3
#> 4        4
#> 5        5

standardize(factor(letters[1:5]))
#> # A tibble: 5 × 1
#>   .outcome
#>   <fct>   
#> 1 a       
#> 2 b       
#> 3 c       
#> 4 d       
#> 5 e       

mat <- matrix(1:10, ncol = 2)
colnames(mat) <- c("a", "b")
standardize(mat)
#> # A tibble: 5 × 2
#>       a     b
#>   <int> <int>
#> 1     1     6
#> 2     2     7
#> 3     3     8
#> 4     4     9
#> 5     5    10

df <- data.frame(x = 1:5, y = 6:10)
standardize(df)
#> # A tibble: 5 × 2
#>       x     y
#>   <int> <int>
#> 1     1     6
#> 2     2     7
#> 3     3     8
#> 4     4     9
#> 5     5    10