sample_based_classifier: Sample Based Value/Attribute Classifier

In r-rudra/tidycells: Read Tabular Data from Diverse Sources and Easily Make Them Tidy

Sample Based Value/Attribute Classifier

Description

Sample Based Value/Attribute Classifier

Usage

sample_based_classifier(
  x,
  ...,
  value_sample,
  attribute_sample,
  empty_sample,
  partial_match = FALSE,
  case_insensitive = FALSE,
  verbose = FALSE
)

## Default S3 method:
sample_based_classifier(
  x,
  ...,
  value_sample = NULL,
  attribute_sample = NULL,
  empty_sample = NULL,
  partial_match = FALSE,
  case_insensitive = FALSE,
  verbose = FALSE
)

## S3 method for class 'cell_df'
sample_based_classifier(
  x,
  ...,
  value_sample,
  attribute_sample,
  empty_sample,
  partial_match = FALSE,
  case_insensitive = FALSE,
  verbose = FALSE
)

Arguments

x	Either a cell_df or leave blank for function output (required by value_attribute_classify)
value_sample	Sample of values (an optional character vector)
attribute_sample	Sample of attribute (an optional character vector)
empty_sample	Sample of empty cells (an optional character vector)
partial_match	Logical scalar indicating whether partial match is allowed. (Default FALSE)
case_insensitive	Logical scalar indicating whether match will be case insensitive. (Default FALSE)
verbose	Logical scalar for printing discovered cells (which gets new type by this rule)

See Also

value_attribute_classify

r-rudra/tidycells documentation built on July 19, 2022, 5:10 a.m.