search for: agrep

I posted this yesterday to r-help and Ben Bolker suggested reposting it here... Dickison, Daniel <ddickison <at> carnegielearning.com> writes: > > The documentation for agrep says it uses the Levenshtein edit distance, > but it seems to get this wrong in certain cases when there is a > combination of deletions and substitutions. For example: > > > agrep("abcd", "abcxyz", max.distance=1) > [1] 1 > > That should've been a n...

The documentation for agrep says it uses the Levenshtein edit distance, but it seems to get this wrong in certain cases when there is a combination of deletions and substitutions. For example: > agrep("abcd", "abcxyz", max.distance=1) [1] 1 That should've been a no-match. The edit distance betw...

Estimados R-users: Estoy intentando usar la función 'agrep' para hacer búsquedas en cadenas de texto. El parámetro max.distance permite controlar la medida de aproximación de búsqueda de la función de Levenshtein. No obstante, cuando hago búsquedas específicas no obtengo siempre el resultado deseado y no se si es un bug o que no entiendo bien e...

Happy new year everybody, I'm getting the following while trying to use the agrep() function: > pattern <- "XXX" > subject <- c("oooooo", "oooXooo", "oooXXooo", "oooXXXooo") > max <- list(ins=0, del=0, sub=0) # I want exact matches only > agrep(pattern, subject, max=max) [1] 4 OK > max$sub <- 1...

Hi all. This is my first message at R-help...so I'm hoping I have some beginner's luck and get some good help for my problem! FYI I have just started using R recently so my knowledge of R is pretty preliminary. Okay here is what I need help with - I need to know how to use agrep in a for loop. I need to compare elements of a vector of names with other elements of the same vector. However if I use something like this: for(i in 1:length(test1)-1) { for(j in i+1:length(test1)) { result[[i]][j] <- agrep(test1[i], test1[j], ignore.case = TRUE, value = TRUE, max.dis...

Hi all, I have two questions 1 - I have the version 1.4.1 of R, and it doesn't have the 'agrep' function in the base library. Is there a way to make this funcion avaliable in R 1.4.1? I mean, how to 'copy' it from R 1.8.1 and 'paste' it in R 1.4.1? 2 - The AGREP function doesn't give me the Levenshtein distance (edit distance). Is there a function in R that does it?...

...list. What I want to do is to match file names in the exclude list to those in the dataset list and remove them to create a subset_dataset, composed of all the dataset files minus the files in the exclude list. Since the file names are different, it seems that i have to use a function such as agrep, and have gotten this to work if I feed in individual file names: > agrep("10-10-29a-13", dataset, value=TRUE, max.distance=0) [1] "B/10-10-29a-13.cdf" However, I don't want to do this manually for each file on the exclude list - I want to do so for each character strin...

> ?agrep > Results in: No documentation for 'agrep ' in specified packages and libraries: you could try 'help.search("agrep ")' There is white space after agrep, that ? doesn't ignore. --please do not edit the information below-- Version: platform = i486-pc-linux-gn...

Same behavior was noted on R 2.9.0 OS X and WIndows. > t(sapply(seq(0.01, .99, length=20), function(x) c(x, length(agrep("Staatssekretar im Bundeskanzleramt","Bundeskanzler",max.distance=x))))) [1,] 0.01000000 0 [2,] 0.06157895 0 [3,] 0.11315789 0 [4,] 0.16473684 0 [5,] 0.21631579 0 [6,] 0.26789474 0 [7,] 0.31947368 0 [8,] 0.37105263 0 [9,] 0.42263158 0 [10,] 0....

"Marcos Sanches" <marcos.sanches at ipsos-opinion.com.br> wrote: Ls1<-length(s1) Ls2<-length(s2) for ( p in 1:ls1){ for (q in 1:ls2){ t1<-levenshteinFast(s1[p],s2[q]) ... Ls1=42000 Ls2=70000 I think I will wait for months untill this program ends. Do you have any sugestion to increase the speed? The first suggestion has to be "search HARD in the

...;Hamburg" but the record I am searching for is "Hamburg OTM" and then we still want to find "Hamburg". Or maybe the list contains "Hamburg" and "Hamberg" but we are searching for "Hamburg" and thus only this should this one should be returned. agrep() returns all "close" matches but unfortunately does not return the degree of closeness otherwise selection would be easy. Is there such a function already implemented? Thanks a million for your help, Werner __________________________ verf?gt ?ber einen herausragenden Schutz gegen M...

...#39; has become different from help() more and more, and it is currently the most urgent open issue in ESS, that ESS should become much smarter in dealing with '?', the various 'type ? topic' version and new '??', etc. Martin Maechler, ETH Zurich BDR> Using ?"agrep " will fail in R, but that seems correct as there is no BDR> topic "agrep ". BDR> On Fri, 30 May 2008, Tim Hesterberg wrote: >> By whitespace, I mean either a space or tab (preceding the newline). >> >> I'm using ESS: >>...

...unless its me missing something... > help.search("prompt", agrep=F) Error: couldn't find function ".class1" > traceback() 12: initialize(value, ...) 11: initialize(value, ...) 10: new("ObjectsWithPackage", value, package = pkg) 9: metaNameUndo(unique(these), prefix = "M", searchForm = searchForm) 8: methods:::getGenerics(ns)...

...ource: Applications/d/make_dparser: llc, cbe, jit Applications/hexxagon/hexxagon: llc, cbe, jit Benchmarks/MallocBench/gs/gs: llc, cbe Benchmarks/Prolangs-C/cdecl/cdecl: llc, cbe, jit Benchmarks/Prolangs-C/football/football: cbe Benchmarks/Prolangs-C/gnugo/gnugo: llc, cbe, jit Benchmarks/Prolangs-C/agrep/agrep: llc Benchmarks/Prolangs-C/fixoutput/fixoutput: llc, cbe Benchmarks/Prolangs-C/gnugo/gnugo: llc, cbe, jit (looks like ld hung) Benchmarks/mediabench/gsm/toast/toast: llc Benchmarks/mediabench/jpeg/jpeg-6a/cjpeg: jit Benchmarks/mediabench/mpeg2/mpeg2dec/mpeg2decode: llc, cbe, jit Regressions...

...urns a data frame with the rows that contain that phrase (for a particular column). Search<-function(term, dataframe, column.name, variation=.02,...){ te<-substitute(term) te<-as.character(te) cn<-substitute(column.name) cn<-as.character(cn) HUNT<-agrep(te,dataframe[,cn],ignore.case =TRUE,max.distance=variation,...) dataframe[c(HUNT),] } I would like to modify this to search all columns for the phrase keep only the unique rows and return a data frame for any columns (minus repeated rows) that contain the phrase. I assumed this would be an e...

Tanya Lattner wrote: > >> 1. I'm still looking for volunteers to test MacOS X and Solaris. >> If you'd like to volunteer, please email the list to let us know. > > > I'll do minimal testing on Sparc. I'm not going to look into any > regressions though since no one has been really watching Sparc since I > graduated and I am sure there are

Greetings I want to remove numbers from a string of characters that identify sites so that I can merge two data frames. For example, a site in one frame is called "001a Frozen Niagara Entrance" whereas the same site in the other data frame is called "Frozen Niagara Entrance". It seems to me the easiest thing to do would be to remove the numbers from the first data

Hi all, Suppose I have a data frame with mixed content (name age and address). a<-"Name: John Smith Age: 35 Address: 32, street, sub, something" b<-data.frame(a) 1. The question is I want to extract the name age and address separately from this data frame (containing potentially more people). 2. Also just incase I have to deal with it how would the syntax change if I had

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Greetings, I need to conduct a merge on two databases containing information on organizations, but the organization names are often non-identical and there is no common unique identifier. Does anyone know a good way to calculate a similarity measure on two names, or even better is there a natural language matching function in an R package? I did some searches on this but must not know the right