similar to: Find by looping thru array

Hi, I am very happy. My problems are solved without one little thing: (Iske <- matrix(c(1, 1, 1, 2, 2, 2, 1, 1, 1, 5, 1, 2, 2, 2, 1, 1, 1, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 1, 2), ncol = 5)) #My Matrix Iske<- Iske+33 #I want see the letters (Iske.char<-apply(Iske, 1, function(x) rawToChar(as.raw(x)))) #Numbers to

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

This may be offtopic to Rails, but what are people doing to find records based on fuzzy string matches? For example, if you wanted to find a Person with name "David Heinemeier Hansson" but searched using the string "Dave Hansson". Currently I am find_by_sql that calls the PostgreSQL function "levenshtein(string1, string2)" which returns results with a score

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 between those strings is 3 (1 substitution, 2 deletions), but agrep matches

Hello, guys! How's it going? I would like to offer you myself again to implement one of the ideas during the GSoC 2012. I want to take care of the "Learning To Rank" project, but I would also be glad to pick the "QueryParser reimplementation", "Dynamic Snippets", "Gmane Search improvements" or even "Replace socket code with ZeroMQ" project (I

I've put a scheme plugin in users/racarr/compiz-scheme on gitweb.open-compositing.org. Essentially it allows the user to define a startup file (~/.compiz/startup.scm) and fill it with scheme code to do neat things and extend Beryl. On one hand it acts like a super powered state plugin, on the other it lets you define useful behavior specific to what you do with your Compiz and share these

Hi, I''m trying to reindex a model (I''m using acts_as_ferret) after having added (via metaprogramming) a large number of fields (several hundred) to the index. It keeps crashing when trying to rebuild the index (the crash log is below, from ferret_server.out) but it only seems to crash on Linux (Ubuntu server 7.04, x86-64) whereas it''s fine on my OS X laptop

Hello Doug, *putting llvmdev in copy since they are concerned too* I've finally got around to finish a working implementation of the typical Levenshtein Distance with the diagonal optimization. I've tested it against the original llvm implementation and checked it on a set of ~18k by randomly generating a variation of each word and checking that both implementations would return the

Windows make any "Levenshtein distance" into domains and fix them??? ummm.... ----- Mensaje original ----- De: "Ing. Luis Felipe Domínguez Vega" <luis.dominguez at mtz.desoft.cu> Para: "Sonic" <sonicsmith at gmail.com> CC: "samba" <samba at lists.samba.org> Enviados: Lunes, 20 de Febrero 2017 15:08:59 Asunto: Re: [Samba] strange auth

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 el algoritmo de búsqueda. Por

Hi, I have to match names where names can be recorded with errors or additions. Now I am searching for a string search function which returns always the "closest" match. E.g. searching for "Washington" it should return only Washington but not Washington, D.C. But it also could be that the list contains only "Hamburg" but the record I am searching for is

On Jan 15, 2011, at 8:31 AM, Matthieu Monrocq wrote: > Hello Doug, > > *putting llvmdev in copy since they are concerned too* > > I've finally got around to finish a working implementation of the typical Levenshtein Distance with the diagonal optimization. > > I've tested it against the original llvm implementation and checked it on a set of ~18k by randomly

An updated version of the Miscellaneous Psychometrics package has been updated to CRAN. The following updates are included in the package: 1) An implementation of the Stocking-Lord procedure for linking test scales. 2) An implementation of the Levenshtein algorithm for comparing character strings 3) stringProbs, a function for computing the probability of a given Levenshtein Distance 4) Three

Here are the functions documented in the Blue Book that I found missing in R (ignoring the ones which are obviously outdated). aggregate allocated amatch axes chull clorder cutree cycle date debugger dget discr faces interp l1fit labclust lag loglin monthplot mstree mulbar napsack odometer persp plclust plotfit rep.int restore rreg sabl sablplot set.seed smooth sort.list Stable stars

Hi, I am a new user of R using R 2.8.1 in windows 2003. I have a csv file with single column which contain the 30,000 students names. There were typo errors while entering this student names. The actual list of names is < 1000. However we dont have that list for keyword search. I am interested in grouping/cluster these names as those which are similar letter to letter. Are there any

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: > > >

I tried both the most recent version of "simple" register allocation and the one from last August, and neither seems to work correctly (they run, but produce bad output). I used them to compile an old version of the Unix "replace" utility (source code attached). Here's how I created the executable: llvm-gcc -emit-llvm -O0 -c replace.c -o replace.bc opt -mem2reg

Dear R magic guys.. I have two tables (actually will be dataframes), both with names to be matched. The names on the first dataframe are from a study with antenatal visits on some health centers here. It happens that we need the delivery info. And half and some thing else of the women decided to delivery some where else our health units. We managed to get the names from some other places but now

Hi Susan, > But this doesn't seem to be happening; the stores to memory are there but > the loads are not. > > Any ideas what's going wrong? Are you using VirtRegMap::addSpillPoint and VirtRegMap::addRestorePoint ? If not you may need to add calls to them to let the rewriter know where to insert the loads/stores. > If not, any advice on how to generate the loads

I found the problem! My generated code is spilling correctly but is not reloading at all. For example, if the original code has the equivalent of this (where %1024 is a virtual reg): %1024 = xxx ... yyy = %1024 and I find no physical register for %1024, then I assign it to physical register %edi and to a stackslot. That creates code like this: %edi = xxx store from %edi to the