There is the stringMatch function in the MiscPsycho package.
> stringMatch('Hadley', 'Hadley Wickham', normalize = 'no')
[1] 8
> stringMatch('Hadley', 'Hadley Wickham', normalize = 'yes')
[1] 0.4285714
It uses Levenshtein distance to tell you how much they differ by, either
normalized or not. So, the above two tell you the first string differs from the
second string by 8 insertions/deletions/substitutions. The second number
normalizes the comparison such that 1 denotes perfect agreement and 2 denotes
imperfect agreement.
Examples of an exact match are below.
> stringMatch('Hadley Wickham', 'Hadley Wickham', normalize = 'yes')
[1] 1
> stringMatch('Hadley Wickham', 'Hadley Wickham', normalize = 'n')
[1] 0
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Hadley Wickham
Sent: Tuesday, August 24, 2010 10:17 AM
To: R-help
Subject: [R] Comparing/diffing strings
Hi all,
all.equal is generally very useful when you want to find the
differences between two objects. It breaks down however, when you
have two long strings to compare:
> all.equal(a, b)
[1] "1 string mismatch"
Does any one know of any good text diffing tools implemented in R?
Thanks,
Hadley
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
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and provide commented, minimal, self-contained, reproducible code.
