How to Install and Uninstall R-curl Package on openSUSE Leap
Last updated: November 23,2024
1. Install "R-curl" package
Please follow the guidance below to install R-curl on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
R-curl
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2. Uninstall "R-curl" package
Learn how to uninstall R-curl on openSUSE Leap:
$
sudo zypper remove
R-curl
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3. Information about the R-curl package on openSUSE Leap
Information for package R-curl:
-------------------------------
Repository : Main Repository
Name : R-curl
Version : 3.2-bp155.2.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : R-curl-3.2-bp155.2.14.src
Upstream URL : http://cran.r-project.org/web/packages/curl
Summary : A Web Client for R
Description :
The curl() and curl_download() functions provide configurable
drop-in replacements for base url() and download.file() with better
performance, support for encryption (https, ftps), gzip compression,
authentication, and other 'libcurl' goodies. The core of the package
implements a framework for performing customized requests where data
can be processed either in memory, on disk, or streaming via the callback
or connection interfaces. Some knowledge of 'libcurl' is recommended; for
a more-user-friendly web client, see the 'httr' package which builds on
this package with http specific tools and logic.
-------------------------------
Repository : Main Repository
Name : R-curl
Version : 3.2-bp155.2.14
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.0 MiB
Installed : No
Status : not installed
Source package : R-curl-3.2-bp155.2.14.src
Upstream URL : http://cran.r-project.org/web/packages/curl
Summary : A Web Client for R
Description :
The curl() and curl_download() functions provide configurable
drop-in replacements for base url() and download.file() with better
performance, support for encryption (https, ftps), gzip compression,
authentication, and other 'libcurl' goodies. The core of the package
implements a framework for performing customized requests where data
can be processed either in memory, on disk, or streaming via the callback
or connection interfaces. Some knowledge of 'libcurl' is recommended; for
a more-user-friendly web client, see the 'httr' package which builds on
this package with http specific tools and logic.