bibliometrix (version 1.4)

dfMerge: Merging of Bibliographic data frames

Description

Merge two bibliographic data frames.

Usage

dfMerge(M1, M2, Field = "TI", tol = 0.9)

Arguments

M1

is the first bibliographic data frame.

M2

is the second bibliographic data frame.

Field

is a character object. It indicates one of the field tags used to match the two data frames. Field can be equal to one of this tags: TI (title), AB (abstract), UT (manuscript ID).

tol

is a numeric value giving the minimum relative similarity to marge two manuscripts. Default value is tol = 0.90.

Value

the value returned from dfMerge is a data frame containing the merged data frames.

Details

A bibliographic data frame is obtained by the converting function convert2df. It is a data matrix with cases corresponding to manuscripts and variables to Field Tag in the original SCOPUS and Thomson Reuters' ISI Web of Knowledge file. The function merges two bibliographic data frames deleting duplicate manuscripts. Duplicate entries are identified through the generalized Levenshtein (edit) distance. Two manuscripts that have a similarity greater than tol argument are stored in the merged data frame only once.

See Also

convert2df to import and convert an ISI or SCOPUS Export file in a bibliographic data frame.

biblioAnalysis function for bibliometric analysis.

summary to obtain a summary of the results.

plot to draw some useful plots of the results.

Examples

 
data(scientometrics)

M1=scientometrics[1:20,]

M2=scientometrics[10:30,]

mergedM <- dfMerge(M1, M2, Field = "TI", tol = 0.95)

dim(mergedM)