Thank you all for your replies. Indeed I used:
http://finzi.psych.upenn.edu/nmz.html
as a search site. I used string match, instead of fuzzy string match.
Fuzzy matching seems to me a rather complicated matter, whereas my initial idea
about solving this problem was a bit simpler:
- check all
, 2005 4:32 AM
To: Jonathan Baron
Cc: McGehee, Robert; bogdan romocea; r-help@stat.math.ethz.ch
Subject: Re: [R] Tuning string matching
Thank you all for your replies. Indeed I used:
http://finzi.psych.upenn.edu/nmz.html
as a search site. I used string match, instead of fuzzy string match
PROTECTED] [mailto:r-help-
[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED]
Sent: Thursday, January 06, 2005 4:32 AM
To: Jonathan Baron
Cc: McGehee, Robert; bogdan romocea; r-help@stat.math.ethz.ch
Subject: Re: [R] Tuning string matching
Thank you all for your replies. Indeed I used
On Wed, 5 Jan 2005 [EMAIL PROTECTED] wrote:
Dear list,
I spent about two hours searching on the message archive, with no avail.
I have a list of people that have to pass an on-line test, but only a fraction
of them do it. Moreover, as they input their names, the resulting string do not
always
It sounds like what you want is a rudimentary spell-checker whose word
is the input name, and whose dictionary is an array of your database
names. Spell checking rules are designed to find missing repeats,
transposed letters, extra letters... precisely the reasons you're not
matching your names to
This is a rather complex problem. I'm not aware of an R function /
package that can do something like this, but in case you need to build
it from scratch read
http://support.sas.com/documentation/periodicals/obs/obswww15/index.html
If you're familiar with SAS you could translate the code to R.
Sorry for joining late, but I wanted to see if my search page
could help. (I don't know which search archive you looked at.)
I entered
fuzzy string match*
and got a few things that look relevant, including the agrep
function.
As for the second part of the question, that seems to be a coding
