[R] Matching a period in grep...
Hi folks, Can anyone enlighten me as to why I get the following when I search for ".csv" at the end of a string? > grep("\.csv$","Blah.csv",value=TRUE) [1] "Blah.csv" Warning messages: 1: '\.' is an unrecognized escape in a character string 2: unrecognized escape removed from "[\.]csv$" R reference for regular expressions says "Any metacharacter with special meaning may be quoted by preceding it with a backslash. [...] The metacharacters in EREs are . \ | ( ) [ { ^ $ * + ?" Am I missing something here? If "\." is not the right way to match a period, can anyone tell me what is? I can't find anything on this in R reference... I'm using R 2.6 on Windows XP Thanks, Alec Zwart CMIS CSIRO [EMAIL PROTECTED] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] One-to-one matching?
Hi folks, Can anyone suggest an efficient way to do "matching without replacement", or "one-to-one matching"? pmatch() doesn't quite provide what I need... For example, lookupTable <- c("a","b","c","d","e","f") matchSample <- c("a","a","b","d") ##Normal match() behaviour: match(matchSample,lookupTable) [1] 1 1 2 4 My problem here is that both "a"s in matchSample are matched to the same "a" in the lookup table. I need the elements of the lookup table to be excluded from the table as they are matched, so that no match can be found for the second "a". Function pmatch() comes close to what I need: pmatch(matchSample,lookupTable) [1] 1 NA 2 4 Yep! However, pmatch() incorporates partial matching, which I definitely don't want: lookupTable <- c("a","b","c","d","e","f") matchSample <- c("a","a","b","d") pmatch(matchSample,lookupTable) [1] 1 6 2 4 ## i.e. the second "a", matches "f" - I don't want this. Of course, when identical items ARE duplicated in both sample and lookup table, I need the matching to reflect this: lookupTable <- c("a","a","c","d","e","f") matchSample <- c("a","a","c","d") ##Normal match() behaviour match(matchSample,lookupTable) [1] 1 1 3 4 No good - pmatch() is better: lookupTable <- c("a","a","c","d","e","f") matchSample <- c("a","a","c","d") pmatch(matchSample,lookupTable) [1] 1 2 3 4 ...but we still have the partial matching issue... ##And of course, as per the usual behaviour of match(), sample elements missing from the lookup table should return NA: matchSample <- c("a","frog","e","d") ; print(matchSample) match(matchSample,lookupTable) Is there a nifty way to get what I'm after without resorting to a for loop? (my code's already got too blasted many of those...) Thanks, Alec Zwart CMIS CSIRO [EMAIL PROTECTED] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] One-to-one matching?
My thanks to Gabor Grothendieck, Charles C. Berry and Moshe Olshansky for their suggested solutions. The upshot of which is that a nice one-line solution to my one-to-one exact matching problem is the Grothendieck-Berry collaboration of match(make.unique(matchSample), make.unique(lookupTable)) I've settled on this particular solution as it appears to be the fastest of the three possibilities given, although Moshe's solution comes a close second :-) Many thanks... Alec On Sun, Jun 22, 2008 at 10:57 PM, <[EMAIL PROTECTED]> wrote: > Hi folks, > > Can anyone suggest an efficient way to do "matching without > replacement", or "one-to-one matching"? pmatch() doesn't quite > provide what I need... > > For example, > > lookupTable <- c("a","b","c","d","e","f") > matchSample <- c("a","a","b","d") > ##Normal match() behaviour: > match(matchSample,lookupTable) > [1] 1 1 2 4 > > My problem here is that both "a"s in matchSample are matched to the > same "a" in the lookup table. I need the elements of the lookup table > to be excluded from the table as they are matched, so that no match > can be found for the second "a". > > Function pmatch() comes close to what I need: > > pmatch(matchSample,lookupTable) > [1] 1 NA 2 4 > > Yep! However, pmatch() incorporates partial matching, which I > definitely don't want: > > lookupTable <- c("a","b","c","d","e","f") > matchSample <- c("a","a","b","d") > pmatch(matchSample,lookupTable) > [1] 1 6 2 4 > ## i.e. the second "a", matches "f" - I don't want this. > > Of course, when identical items ARE duplicated in both sample and > lookup table, I need the matching to reflect this: > > lookupTable <- c("a","a","c","d","e","f") > matchSample <- c("a","a","c","d") > ##Normal match() behaviour > match(matchSample,lookupTable) > [1] 1 1 3 4 > > No good - pmatch() is better: > > lookupTable <- c("a","a","c","d","e","f") > matchSample <- c("a","a","c","d") > pmatch(matchSample,lookupTable) > [1] 1 2 3 4 > > ...but we still have the partial matching issue... > > ##And of course, as per the usual behaviour of match(), sample > elements missing from the lookup table should return NA: > > matchSample <- c("a","frog","e","d") ; print(matchSample) > match(matchSample,lookupTable) > > Is there a nifty way to get what I'm after without resorting to a for > loop? (my code's already got too blasted many of those...) > > Thanks, > > Alec Zwart > CMIS CSIRO > [EMAIL PROTECTED] > > __ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.