similar to: AGREP

"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

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

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

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: > > >

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

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 # One allowed

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.

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, Before I reinvent the wheel I wanted to kindly ask you for your opinion if there is a simple way to do it. I want to merge a larger number of tables from different data sources in R and the matching criterium are country names. The tables are of different size and sometimes the country names do differ slightly. Has anyone done this or any recommendation on what commands I

Sorry, I forgot to correct the message subject, so I am resending my doubt it below: Hi all! I wrote a very basic program in R, which has some loops ('for' and 'while'). Is there a way to print the 'for' (or while) indice while the program is running so that I am able to estimate where the program is and how long it will last? I mean, I want something like this:

Hello, It's just a strange coincidence that someone posted just very recently a question about matching. I know there are several match function in the base package (such as match, pmatch, charmatch, and the gsub etc) but I can't seem to use them wisely to be able to get what I need. suppose I have the following strings: "tets" "estt" "rtes7"

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

Hello R Helpers, Business - 64 bit windows 7, R 2.11.1 I am trying to match the character contents of one list, called 'exclude', to those of a second list, called 'dataset' dataset is a list of file names with folder locations, and looks like this when called: > dataset [1] "A/10-10-29a-13.cdf" "A/10-10-29a-14.cdf" "A/10-10-29a-15.cdf"

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,]

I changed my R console configurations, for example, the letters are white, the background is black, etc,... Then I saved this new configuration. What should I do if I want to have this new configuration everytime I open R? TIA

Hello all! I want to estimate parameters in a MIMIC model. I have one latent variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I know there is the SEM library, but it seems not to be possible to specify formative indicators, that is, observed exogenous variables which causes the latent variable. Thanks,

I have a column of words, for example "DOG" "DOOG" "GOD" "GOOD" "DOOR" ... and I am interested in creating a matrix that contains the string edit distances between each pair of words. I am this close -> ' ' <- to writing the algorithm myself (which will allow for different variations on the string edit rules, indels,

Doctor in veterinary medecine I have a degree in veterinary epidemiology I would ask if someone can perform Monte Carlo simulation with R. Thanks in advance. Dr Kane Ismaila i_kane at hotmail.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hello everyone, I am not sure if this should go on the general R mailing list (for example, if there is a text mining solution that might work here) or the bioconductor mailing list (since I wasn't able to find a solution to my question on searching their lists) - so this time I tried both, and in the future I'll know better (in case it should go to only one of the two). The task

Hello dear R-helpers, I'm working with R-2.15.2 on Windows 7 OS. I'm stucked with a merge of two data frames by characters. In each data frame I got two different list of names, that is my main-key to be merged. To figure out what I'm saying, I build up a modified "?merge" example, with errors by purpose: # Data for authors: authors <- data.frame( surname =