Usage
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)Arguments
x, object
Depends on the function, usually a "RecLinkData",
"RLBigData" or "RLResult".
A matrix of binary observations for countp
n
Maximum number of comparison patterns to fetch.
phoneticFld
Indices of attributes for which phonetic code should be used.
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.
cutoff
Threshold from which string comparison values are rounded to 1.
withProgressBar
Whether to display a progress bar.
withExcluded
Logical. Wether to output names of excluded columns
W,M,U
Linkage weights, m- and u-probabilites. See emWeights
for details. matching
If TRUE an additional vector is returned which stores which
row belongs to which pattern.