.get_data_types | R Documentation |
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.
.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)
x |
An object |
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
developer_functions
data(Sacramento, package = "modeldata")
lapply(Sacramento, .get_data_types)
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