ParseProbDup: Parse an object of class 'ProbDup' to a data frame.

View source: R/ParseProbDup.R

ParseProbDupR Documentation

Parse an object of class ProbDup to a data frame.


ParseProbDup converts an object of class ProbDup to a data frame for export.


ParseProbDup(pdup, max.count = 30, insert.blanks = TRUE)



An object of class ProbDup.


The maximum count of probable duplicate sets which are to be parsed to a data frame.


logical. If TRUE, inserts a row of NAs after each set.


A data frame of the long/narrow form of the probable duplicate sets data with the following core columns:

SET_NO The set number.
TYPE The type of probable duplicate set. 'F' for fuzzy, 'P' for phonetic and 'S' for semantic matching sets.
K The KWIC index or database of origin of the record. The method is specified within the square brackets in the column name.
PRIM_ID The primary ID of the accession record from which the set could be identified.
IDKW The 'matching' keywords along with the IDs.
COUNT The number of elements in a set.

For the retrieved columns(fields) the prefix K* indicates the KWIC index of origin.

See Also



## Not run: 

#' # Load PGR passport database
GN <- GN1000

# Specify as a vector the database fields to be used
GNfields <- c("NationalID", "CollNo", "DonorID", "OtherID1", "OtherID2")

# Clean the data
GN[GNfields] <- lapply(GN[GNfields], function(x) DataClean(x))
y1 <- list(c("Gujarat", "Dwarf"), c("Castle", "Cary"), c("Small", "Japan"),
c("Big", "Japan"), c("Mani", "Blanco"), c("Uganda", "Erect"),
c("Mota", "Company"))
y2 <- c("Dark", "Light", "Small", "Improved", "Punjab", "SAM")
y3 <- c("Local", "Bold", "Cary", "Mutant", "Runner", "Giant", "No.",
        "Bunch", "Peanut")
GN[GNfields] <- lapply(GN[GNfields], function(x) MergeKW(x, y1, delim = c("space", "dash")))
GN[GNfields] <- lapply(GN[GNfields], function(x) MergePrefix(x, y2, delim = c("space", "dash")))
GN[GNfields] <- lapply(GN[GNfields], function(x) MergeSuffix(x, y3, delim = c("space", "dash")))

# Generate KWIC index
GNKWIC <- KWIC(GN, GNfields)

# Specify the exceptions as a vector
exep <- c("A", "B", "BIG", "BOLD", "BUNCH", "C", "COMPANY", "CULTURE", 
         "DARK", "E", "EARLY", "EC", "ERECT", "EXOTIC", "FLESH", "GROUNDNUT", 
         "LIGHT", "LOCAL", "OF", "OVERO", "P", "PEANUT", "PURPLE", "R", 
         "RED", "RUNNER", "S1", "SAM", "SMALL", "SPANISH", "TAN", "TYPE", 
         "U", "VALENCIA", "VIRGINIA", "WHITE")
# Specify the synsets as a list
syn <- list(c("CHANDRA", "AH114"), c("TG1", "VIKRAM"))

# Fetch probable duplicate sets
GNdup <- ProbDup(kwic1 = GNKWIC, method = "a", excep = exep, fuzzy = TRUE,
                 phonetic = TRUE, encoding = "primary", 
                 semantic = TRUE, syn = syn)
# Convert to data frame of sets               
GNdupParsed <- ParseProbDup(GNdup)

## End(Not run)

PGRdup documentation built on Sept. 1, 2023, 1:05 a.m.