November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Weights-based method
The weights-based algorithm for record linkage:
library(RecordLinkage) data("RLdata500") # weight calculation rec.pairs <- compare.dedup(RLdata500 ,blockfld = list(1, 5:7) ,strcmp = c(2,3,4) ,strcmpfun = levenshteinSim) pairs.weights <- epiWeights(rec.pairs) hist(pairs.weights$Wdata) summary(pairs.weights) weights.df<-getPairs(pairs.weights) head(weights.df) # Classification pairs.classify <- emClassify(pairs.weights, threshold.upper = 0.5, threshold.lower = 0.3) # View the matches final.results <- pairs.classify$pairs final.results$weight <- pairs.classify$Wdata final.results$links <- pairs.classify$prediction head(final.results) counts <- table(final.results$links) barplot(counts, main="Link Distribution", Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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