Displaying 4 results from an estimated 4 matches for "fastmatch".
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2011 Apr 04
2
General binary search?
Is there a generic binary search routine in a standard library which
a) works for character vectors
b) runs in O(log(N)) time?
I'm aware of findInterval(x,vec), but it is restricted to numeric vectors.
I'm also aware of various hashing solutions (e.g. new.env(hash=TRUE) and
fastmatch), but I need the greatest-lower-bound match in my application.
findInterval is also slow for large N=length(vec) because of the O(N)
checking it does, as Duncan Murdoch has pointed
out<https://stat.ethz.ch/pipermail/r-help/2008-September/174584.html>:
though
its documentation says it runs in...
2020 Jun 26
2
R 4.0.0 rebuild status
On Friday, 26 June 2020 10.47.13 WEST I?aki Ucar wrote:
> I used bcond locally and wrongly assumed that fedpkg build would
> support --with BCOND and --without BCOND. Instead, the way to activate
> it is to change to "%bcond_with check" and then revert to
> "%bcond_without check". The only difference with bootstrap is that
> "bootstrap" is recognized
2019 Jul 04
2
Fwd: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies
...nmark
* R-corpus
* R-crayon
* R-curl
* R-data.table
* R-date
* R-DBI
* R-dbplyr
* R-debugme
* R-DelayedArray
* R-deldir
* R-desc
* R-dichromat
* R-diffobj
* R-digest
* R-disposables
* R-doParallel
* R-dplyr
* R-dtplyr
* R-DynDoc
* R-ellipsis
* R-errors
* R-evaluate
* R-expm
* R-fansi
* R-farver
* R-fastmatch
* R-fibroEset
* R-filehash
* R-FMStable
* R-foghorn
* R-fontBitstreamVera
* R-fontLiberation
* R-forcats
* R-foreach
* R-formatR
* R-fortunes
* R-fs
* R-fts
* R-futile.logger
* R-futile.options
* R-future
* R-gamlss.dist
* R-gapminder
* R-gdata
* R-gdtools
* R-gee
* R-geepack
* R-generics
* R-Genom...
2012 Aug 10
3
Vector size limit for table() in R-2.15.1
Hi,
First, thanks in advance. Some useful info:
>version
platform x86_64-unknown-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
version.string R version 2.15.1 (2012-06-22)
I'm trying to use the table() function on a 2 column matrix that has 711
million rows (see below). However, it freezes. If I subset the matrix to be
less than or equal