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Get types for use in recipes

Source: R/get_types_recipes.R
get_data_types.Rd

The .get_data_types() generic is used internally to supply types to columns used in recipes. These functions underlie the work that the user sees in selections.

Usage

.get_data_types(x)

# Default S3 method
.get_data_types(x)

# S3 method for class 'character'
.get_data_types(x)

# S3 method for class 'ordered'
.get_data_types(x)

# S3 method for class 'factor'
.get_data_types(x)

# S3 method for class 'integer'
.get_data_types(x)

# S3 method for class 'numeric'
.get_data_types(x)

# S3 method for class 'double'
.get_data_types(x)

# S3 method for class 'Surv'
.get_data_types(x)

# S3 method for class 'logical'
.get_data_types(x)

# S3 method for class 'Date'
.get_data_types(x)

# S3 method for class 'POSIXct'
.get_data_types(x)

# S3 method for class 'list'
.get_data_types(x)

# S3 method for class 'textrecipes_tokenlist'
.get_data_types(x)

# S3 method for class 'hardhat_case_weights'
.get_data_types(x)

Arguments

x

An object

Details

This function acts as an extended recipes-specific version of class(). By ignoring differences in similar types ("double" and "numeric") and allowing each element to have multiple types ("factor" returns "factor", "unordered", and "nominal", and "character" returns "string", "unordered", and "nominal") we are able to create more natural selectors such as all_nominal(), all_string() and all_integer().

The following list shows the data types for different classes, as defined by recipes. If an object has a class not supported by .get_data_types(), it will get data type "other".

  • character: string, unordered, and nominal

  • ordered: ordered, and nominal

  • factor: factor, unordered, and nominal

  • integer: integer, and numeric

  • numeric: double, and numeric

  • double: double, and numeric

  • Surv: surv

  • logical: logical

  • Date: date

  • POSIXct: datetime

  • list: list

  • textrecipes_tokenlist: tokenlist

  • hardhat_case_weights: case_weights

See also

developer_functions

Examples


data(Sacramento, package = "modeldata")
lapply(Sacramento, .get_data_types)
#> $city
#> [1] "factor"    "unordered" "nominal"  
#> 
#> $zip
#> [1] "factor"    "unordered" "nominal"  
#> 
#> $beds
#> [1] "integer" "numeric"
#> 
#> $baths
#> [1] "double"  "numeric"
#> 
#> $sqft
#> [1] "integer" "numeric"
#> 
#> $type
#> [1] "factor"    "unordered" "nominal"  
#> 
#> $price
#> [1] "integer" "numeric"
#> 
#> $latitude
#> [1] "double"  "numeric"
#> 
#> $longitude
#> [1] "double"  "numeric"
#>