internals: Internal functions and methods
In RecordLinkage: Record Linkage Functions for Linking and Deduplicating Data Sets

Description Usage Arguments Details Author(s)

These functions and methods are used internally and should usually not be called from outside the package.

  begin(x, ...)
  nextPairs(x, n = 10000, ...)
  clear(x, ...)
  blockfldfun(blockfld, phoneticFld, phoneticFun, coln)
  getSQLStatement(data1, data2 = data1, con, type, blockFld, excludeFld,
    strcmpFld, strcmpFun, phoneticFld, phoneticFun)
  init_sqlite_extensions(db)
  .allows_extensions(db)
  .lib_path()
  getPatternCounts(x, n=10000, cutoff=1, withProgressBar = (sink.number()==0))
  getMatchCount(object)
  getNonMatchCount(object)
  getNACount(object)
  getColumnNames(object, withExcluded = FALSE)
  getThresholds(W, M, U, my, ny)
  countpattern(x, matching = FALSE)
  hasWeights(object)

`x, object`	Depends on the function, usually a `"RecLinkData"`, `"RLBigData"` or `"RLResult"`. A matrix of binary observations for `countpattern`.
`n`	Maximum number of comparison patterns to fetch.
`blockfld`	Blocking definition as in `RLBigData*`.
`phoneticFld`	Indices of attributes for which phonetic code should be used.
`phoneticFun`	Name of phonetic function as in `RLBigData*`.
`data1, data2`	Data frame with records.
`type`	"linkage" or "deduplication", the type of linkage.
`excludeFld`	Indices or names of fields to exclude from comparison.
`strcmpFld`	Indices of attributes for which string comparison should be used.
`strcmpFun`	Name of string comparison function as in `RLBigData*`.
`con`	A SQLite database connection.
`coln`	Column names of records.
`db`	Database connection.
`cutoff`	Threshold from which string comparison values are rounded to 1.
`withProgressBar`	Whether to display a progress bar.
`withExcluded`	Logical. Whether to output names of excluded columns
`W,M,U`	Linkage weights, m- and u-probabilities. See `emWeights` for details.
`W,M,U`	Error bounds. See `emClassify` for details.
`...`	Optional arguments.
`matching`	If TRUE an additional vector is returned which stores which row belongs to which pattern.

begin: Sends a query to the database of an "RLBigData" object which creates comparison patterns.
nextPairs: Retrieves the next n comparison patterns.
clear: Closes the result set opened by begin.
blockfldfun: Constructs the part of SQL statement which implements blocking.
blockfldfun: Constructs the part of SQL statement which implements blocking.
getSQLStatement: Constructs SQL statement for retrieving comparison patterns.
init_sqlite_extensions: Load string comparison and phonetic functions into database.
.allows_extensions: Tests whether SQLite engine supports extension functions.
.lib_path: Gets path of shared library of package.
getPatternCounts: Counts binary patterns, implemented through countpattern.
getMatchCount: Gets number of matches from a "RLBigData" object.
getNACount: Gets number of pairs with unknown matching status from a "RLBigData" object.
getDbFile: Returns path of database file for a data or result object.
getColumnNames: Returns column names of a "RLBigData" object as a character vector.
getThresholds: Calculates upper and lower classification based on error bounds.
countpattern: Modified version of countpattern in package e1071.
hasWeights: Determines whether a data object has weights.