clean: clean function

In hkarp1/fuz.merge: This package provides functions to implement and aid in Fuzzy Matching

Description

Function to clean the column to be used in joining. Will remove certain parts of elements in a column

Usage

clean(
  df,
  column,
  replacement = "",
  selected = NULL,
  prefixes = FALSE,
  suffixes = FALSE,
  switch_order = FALSE,
  ignore.case = FALSE
)

Arguments

df	A table the column is in
column	The column to be cleaned
replacement	What the cleaned portion of elements will be changed to, Default: ”
selected	Characters to removed, Default: NULL
prefixes	If true, prefixes will be removed, Default: FALSE
suffixes	If true, suffixes will be removed, Default: FALSE
switch_order	Should be set to True if one of the columns is Last Name First and the other is not. Will change the order of names. Ignore if you not joining by names, Default: FALSE
ignore.case	If true, will ignore capitalization, Default: FALSE

Details

This should be run prior to fuzzy_match as it will ensure a higher degree of accuracy.

Value

Will return a table which has specified characters removed from the column

See Also

is.boolean unfactor

Examples

## Not run: 
congress <- clean(congress, name, selected = ",", prefixes = T, suffixes = T)
politwoops <- clean(politwoops, full_name, selected = ",", prefixes = T, suffixes = T)

## End(Not run)

hkarp1/fuz.merge documentation built on Sept. 2, 2020, 12:05 a.m.