summary.RLBigData: summary methods for '"RLBigData"' objects.

In RecordLinkage: Record Linkage Functions for Linking and Deduplicating Data Sets

summary methods for "RLBigData" objects.

Description

Shows summarized information on a "RLBigDataDedup" or "RLBigDataDedup" object.

Usage

  ## S3 method for class 'RLBigDataDedup'
summary(object, ...)
  ## S3 method for class 'RLBigDataLinkage'
summary(object, ...)
  ## S3 method for class 'summaryRLBigDataDedup'
print(x, ...)
  ## S3 method for class 'summaryRLBigDataLinkage'
print(x, ...)

Arguments

object	The object for which to show a summary.
x	Return value of the summary function.
...	Additional arguments from the generic function are ignored.

Details

The summary methods return a list of the format shown below. The print method displays this information on the console in a user-friendly format.

Blocking fields are displayed in a style like [attr1], [attr2, attr3], where attr1 etc. are column names and attributes within brackets represent one blocking iteration. See compare.dedup or RLBigDataDedup for an explanation of blocking criteria.

Value

For summary, a list with components

nData	Only for the "RLBigDataDedup" method: Number of records in the dataset.
nData1	Only for the "RLBigDataLinkage" method: Number of records in dataset 1.
nData2	Only for the "RLBigDataLinkage" method: Number of records in dataset 2.
attributes	Column names of dataset(s).
blockFld	Blocking definition as a list of character vectors, representing column names.
nPairs	Number of record pairs
nMatches	Number of matches in the set of record pairs.
nNonMatches	Number of non-matches in the set of record pairs.
nUnkonwn	Number of record pairs with unknown matching status.
weightHist	Only if weights have been calculated for object: a summary of the weights in histogram style.

Author(s)

Andreas Borg, Murat Sariyar

See Also

summary "RLBigData" RLBigDataDedup, RLBigDataLinkage

Examples

  data(RLdata500)
  rpairs <- RLBigDataDedup(RLdata500, identity = identity.RLdata500,
     blockfld=list(1,3,5:7))
  rpairs <- epiWeights(rpairs)
  summary(rpairs)

RecordLinkage documentation built on Nov. 10, 2022, 5:42 p.m.