Allows the user to choose, downloads and install - the latest version of Rtools for Windows. By default, the function searches if RTools is installed, if not, it checks if it knows which version to isntall for the current R version, and if not - it asks the user to choose which Rtools version to install. Otherwise, you can install it directly from the source. Download the RPANDA folder and then, from the terminal console (linux, windows or mac): R CMD build RPANDA This will produce the RPANDA tarball. Then, for compiling the binary: R CMD INSTALL -build RPANDA1.X.tar.gz Report an issue. Any bugs encountered when using the package can be. Download R for Mac 1. Go to www.r-project.org. Click on ‘CRAN’ under ‘Download’ on the left side of the page. Download R 4.0.3 for Windows (85 megabytes, 32/64 bit) Installation and other instructions; New features in this version; If you want to double-check that the package you have downloaded matches the package distributed by CRAN, you can compare the md5sum of the.exe to the fingerprint on the master server. If you are prompted for choosing a CRAN mirror, just select the top option. Alternatively, you can download the source files or a Windows or MacOS X binary from CRAN and install the package manually. See the R Installation and Administration manual for more details on how to install packages this way.
| current version: 0.2-6(Christmas 2019) |
News: | [2020-01-07] wordspace v0.2-6 relased on CRAN [2019-07-15] sparsesvd v0.2 relased on CRAN [2019-07-13] wordspace v0.2-5 relased on CRAN |
Introduction
The wordspace package turns R into an interactive laboratory for empirical research on distributional semantic models (DSM). It consists of a small set of carefully designed functions, most of which (i) encapsulate non-trivial R operations in a user-friendly manner or (ii) provide efficient and memory-lean C implementations of key operations.
The package includes various example data sets, ranging from verb-noun co-occurrence data to standard evaluation tasks. Additional large pre-compiled models will be made available from the Web site.
See Evert (2014) for a more detailed description of the package, including benchmarks and a sample session. You can also read the package vignette (PDF, HTML) and try out all the code examples.
If you use wordspace in published research, it would be nice of you to cite the following paper:
- Evert, Stefan (2014).Distributional semantics in R with the wordspace package.In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, pages 110–114, Dublin, Ireland.
Download & installation
The wordspace package and its dependencies are available from CRAN, the Comprehensive R Archive Network. It can easily be installed with a GUI installer or with the R command Alternatively, you can download a local copy of the current version below and install it manually. Note that there are two separate packages, which need to be installed in this order: sparsesvd (a SVDLIBC wrapper) and wordspace itself.
Cran R Project Org Download Mac Os
sparsesvd
version 0.2- source package:
sparsesvd_0.2.tar.gz
- Mac OS X binary:
sparsesvd_0.2.tgz
(for R 3.6.x) - Windows binary:
sparsesvd_0.2.zip
(for R 3.6.x) wordspace
version 0.2-6- source package:
wordspace_0.2-6.tar.gz
(1.7 MiB) - Mac OS X binary:
wordspace_0.2-6.tgz
(2.1 MiB, for R 3.6.x) - Windows binary:
wordspace_0.2-6.zip
(2.6 MiB, for R 3.6.x)
The wordspace package is free and open source. Like R itself, it is distributed under the GNU General Public License, version 3. SVDLIBC and the sparsesvd package are made available under a BSD license.
Contact information
Developer and maintainer:
- Stefan Evert (Computational Corpus Linguistics Group, FAU Erlangen-Nürnberg):
[email protected]|
http://www.stefan-evert.de/|
http://www.linguistik.fau.de/
You should also subscribe to the wordspace mailing list, where you can get help and discuss ideas with other users.
The aim of
devtools
is to make your life as a package developer easier by providing R functions that simplify many common tasks. R packages are actually really simple, and with the right tools it should be easier to use the package structure than not. Package development in R can feel intimidating, but devtools does every thing it can to make it as welcoming as possible. devtools
comes with a small guarantee: if because of a bug in devtools a member of R-core gets angry with you, I will send you a handwritten apology note. Just forward me the email and your address, and I'll get a card in the mail.![Cran r project org download machine learning Cran r project org download machine learning](/uploads/1/2/6/6/126645133/829655013.png)
devtools
is opinionated about how to do package development, and requires that you use roxygen2
for documentation and testthat
for testing. Not everyone agrees with these opinions, and they are by no means perfect, but they have evolved during the process of writing over 30 R packages. I'm always happy to hear about what doesn't work for you, and any places where devtools gets in your way. Either send an email to the rdevtools mailing list or file an issue.Updating to the latest version of devtools
You can track (and contribute to) development of
devtools
at https://github.com/hadley/devtools. To install it:- Install the release version of
devtools
from CRAN withinstall.packages('devtools')
. - Make sure you have a working development environment.
- Windows: Install Rtools.
- Mac: Install Xcode from the Mac App Store.
- Linux: Install a compiler and various development libraries (details vary across differnet flavors of Linux).
- Follow the instructions below depending on platform.
- Mac and Linux:
- Windows:
Package development tools
All
devtools
functions accept a path as an argument, e.g. load_all('path/to/path/mypkg')
. If you don't specify a path, devtools
will look in the current working directory - this is recommend practice.Frequent development tasks:
load_all()
simulates installing and reloading your package, loading R code inR/
, compiled shared objects insrc/
and data files indata/
. During development you usually want to access all functions soload_all()
ignores the packageNAMESPACE
.load_all()
will automatically create aDESCRIPTION
if needed.document()
updates documentation, file collation andNAMESPACE
.test()
reloads your code, then runs alltestthat
tests.
Building and installing:
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install()
reinstalls the package, detaches the currently loaded version then reloads the new version withlibrary()
. Reloading a package is not guaranteed to work: see the documentation tounload()
for caveats.build()
builds a package file from package sources. You can can use it to build a binary version of your package.install_github()
installs an R package from github,install_gitorious()
from gitorious,install_bitbucket()
from bitbucket,install_url()
from an arbitrary url andinstall_file()
from a local file on disk.install_version()
installs a specified version from cran.
Check and release:
check()
updates the documentation, then builds and checks the package.build_win()
builds a package using win-builder, allowing you to easily check your package on windows.run_examples()
will run all examples to make sure they work. This is useful because example checking is the last step ofR CMD check
.check_doc()
runs most of the documentation checking components ofR CMD check
release()
makes sure everything is ok with your package (including asking you a number of questions), then builds and uploads to CRAN. It also drafts an email to let the CRAN maintainers know that you've uploaded a new package.
Other commands:
bash()
opens a bash shell in your package directory so you can use git or other command line tools.wd()
changes the working directory to a path relative to the package root.
Development mode
Calling
dev_mode()
will switch your version of R into 'development mode'. In this mode, R will install packages to ~/R-dev
. This is useful to avoid clobbering the existing versions of CRAN packages that you need for other tasks. Calling dev_mode()
again will turn development mode off, and return you to your default library setup.Other tips
I recommend adding the following code to your
.Rprofile
:See the complete list in
?devtools
This will set up R to:
- always install packages from the RStudio CRAN mirror
- ignore newlines when
browse()
ing - give minimal output from
traceback()
- automatically load
devtools
in interactive sessions
There are also a number of options you might want to set (in
.Rprofile
) to customise the default behaviour when creating packages and drafting emails:Cran R
devtools.name
: your name, used to sign emailsdevtools.desc.author
: your R author string, in the form of'Hadley Wickham <[email protected]> [aut, cre]'
. Used when creating defaultDESCRIPTION
files.devtools.desc.license
: a default license used when creating new packages