similar to: Vectorizing closest match

Full_Name: Naoki Takebayashi Version: 0.65.0+R-release.diff (Oct 6, 1999) OS: Linux/Alpha Submission from: (NULL) (129.79.224.171) This will fix the "problem 2 (crash in fft)" in Bug ID #277 On Linux/Alpha, make check failed because R could not handle the following example in base-Ex.R ##___ Examples ___: # The Old Faithful geyser data data(faithful) : : ## Missing values: x <-

The original problem I posed was Let x = real vector of length n y = real vector of length n w = real vector of length m, m typically less than n/2 but can be > n z = real vector of length m For w[i], i=1,,,m, find the value of x that is closest to w[i]. In the case of ties, select one (optimally at random or just take the first match). Let z[i] = value of y corresponding to the

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

Hello, What would be in R the closest match to a c-struct? e.g. data.frame requires all elements to be of the same length ... or is there a way to circumvent this? TIA, Best regards, Giovanni

I am trying to do a search for a crazy problem. Anyways, the search can only contain one word and the database it''s searching contains one word per row. Basically if someone tries to search for a word I want to find the closest match. Ex: If someone types "cat" and "cat" is not in my database, but "bat" is, how could I select bat? Also, if someone

Hi I have a table with ID (1 to 183) and Location (144 to -22). My problem is that I want to select the 10 ID's that are closest in Location to ID 1, ID 2 and so on. Also, some ID have the same Location. Say, if 11 ID's are closest to ID 100 I want to randomly choose one of the ID's to select 10 ID's total. Thank you -- View this message in context:

I have a long list of numbers [3.4,5.4,3.67,....], and I basically want to find the index of the number closest to this number that I have, let's say 5.43. How would I do this without writing a for loop (I have to do this many times for several lists)? Is there a "lookup" function in R? Thanks! -- View this message in context:

Dear R-user, For the "matplot" of the following data drawn by >matplot(t, pch=1) structure(c(2372L, 2494L, 2170L, 2238L, 1918L, 715L, 1573L, 2437L, 2481L, 1881L, 440L, 2165L, 343L, 121L, 597L, 1163L, 1459L, 2093L, 1454L, 1761L, 1872L, 174L, 2040L, 552L, 1403L, 6381L, 1649L, 4136L, 4415L, 10650L, 12111L, 4397L, 9593L, 7040L, 3888L, 8340L, 11475L, 11413L, 3985L, 1077L, 7723L, 1392L,

Hi, Do CentOS 7 installs not automatically use a closest mirror for installing like Fedora does, or is that due to the way I'm starting the install (virt-install)? Background: I'm trying to find the best way to do installs using basic local media (network install, but *without* the need to download the squashfs.img for every install) but without a full local mirror. On Fedora (25), it

Dear R-users, i have a simple problem maybe, but i don't see the solution. i want to find the entry-wise closest element of an vector compared with another. ind1<-c(1,4,10) ind2<-c(3,5,11) for (i in length(ind2):1) { print(which.min(abs(ind1-ind2[i]))) } for ind2[3] it should be ind1[3] 10, for ind2[2] it should be ind1[2] 4 and for ind2[1] it should be ind1[1] 1. but with the

Hello, I have this command: x.axis <- seq(from=0.5, to=4.5, length.out=13112) How can I which of the x.axis components is the closest to a given value, for example 3.2? Best, Dani -- Daniel Valverde Saub? Grup de Biologia Molecular de Llevats Facultat de Veterin?ria de la Universitat Aut?noma de Barcelona Edifici V, Campus UAB 08193 Cerdanyola del Vall?s- SPAIN Centro de Investigaci?n

Art (and group), I'm doing this as a form of missing value analysis. Approximately 30% of the cases are missing data for one variable. To impute values for those cases, I'd like to match those cases that are missing the variable to all other cases and then take an average of those to infill. I realize there are many methods for imputing data. I'm not well versed on any in

Hi, I want to take a SRPM that is available for various versions of Fedora and rebuild it on a CentOS 4 system. Which release of Fedora is the closest to CentOS 4? In other words, which would be the best FC to take the SRPM for? Cheers Tony -- Tony Mountifield Work: tony at softins.co.uk - http://www.softins.co.uk Play: tony at mountifield.org - http://tony.mountifield.org

I'v got working Samba ADS servers, but "net ads info" shows most of them are associated with Win2K3 domain controllers that are in different sites than the ones the Samba servers are in (we have a large WAN with DCs in every site). I'm not configuring "password server" as I want Samba to be more fault tolerant than pointing it at one DC - when there are many to choose

I've only begun investigating R as a substitute for SPSS. I have a need to identify for each CASE the closest (or most similar) 5 other CASES (not including itself as it is automatically the closest). I have a fairly large matrix (50000 cases by 50 vars). In SPSS, I can use Correlate > Distances to generate a matrix of similarity, but only on a small sample. The entire matrix can not

Hi All, I have been able to modify the x-axis to start at zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any

Dear All, would you please provide your thoughts on the following: let us say I have: a <-c(1,5,8,15,32,69) b <-c(8.5,33) and I would like to extract from "a" the two values that are closest to the values in "b", where the length of this vectors may change but b will allways be shorter than "a". So at the end based on this example I should have the result

Hi, I have 2 date vectors d1 and d2. d1 <- structure(c(14526, 14495, 14464, 14433, 14402, 14371, 14340, 14309, 14278, 14247, 14216, 14185), class = "Date") d2 <- structure(c(14526, 14509, 14488, 14466, 14453, 14441, 14396, 14388, 14343, 14333, 14310, 14281), class = "Date") I would like to create another dataframe with columns d1 and d2, where d1 is the original d1

Hello all! I'm working on a library with bignum support, and I wanted to try LLVM as an apparently simpler and more portable system to my current design (a Haskell script which spits out mixed C and assembly). Porting the script to use the LLVM bindings instead of the current hack was pretty easy. But I have a few remaining questions: (1) Are bignums exposed to any higher-level

Hi, May be you can try this: obj_name<- load("arun.RData") Pred1<- get(obj_name[1]) Actual1<- get(obj_name[2]) library(reshape2) dat<-cbind(melt(Pred1,id.vars="S1"),value2=melt(Actual1,id.vars="S1")[,3])? # to reshape to long form colnames(dat)[3:4]<- c("Predict","Actual") dat$variable<- as.character(dat$variable) #not that