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Libgl1-mesa-glx libglapi-mesa libgomp1 libgraphite2-3 libharfbuzz0b libhtml-form-perl Libfont-afm-perl libfontconfig1 libfontenc1 libgcc-5-dev libgfortran-5-dev libgfortran3 libgl1-mesa-dri Libfile-basedir-perl libfile-desktopentry-perl libfile-listing-perl libfile-mimeinfo-perl Libdrm-amdgpu1 libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libelf1 libencode-locale-perl Libblas-common libblas-dev libblas3 libbz2-dev libcairo2 libcc1-0 libcilkrts5 libcurl3 libdatrie1 Gcc-5-base gfortran gfortran-5 icu-devtools intltool libasan2 libatomic1 libauthen-sasl-perl The following additional packages will be installed:īzip2-doc cdbs cpp-5 dh-translations fontconfig fontconfig-config fonts-dejavu-core g++-5 gcc-5

Use 'sudo apt autoremove' to remove them. The following packages were automatically installed and are no longer required: W: : Signature by key E79ACECB87D8DCD23A20AD2FFB40D3E6508EA4C8 uses weak digest algorithm (SHA1) Once the update is done and update the local machine we will now install the r-base package from the CRAN repository.īelow is the command to install the R package. Once the repository is added, we will now update the machine with the below command $ sudo apt-get update Once the trusted key is to install on the server database, we can add the repository to the machine with the below command. Gpg: key E084DAB9: public key 'Michael Rutter ' imported Gpg: requesting key E084DAB9 from hkp server Since “R” is the fastest-moving package, we will not get the stable version from the Ubuntu repositories, so we needed to add the CRAN repository to our local machine. We need a Linux machine install with Ubuntu 16.04 server with a minimum of 1 GB of RAM.Ī non-root user with Sudo permissions on the machine.Īdding the CRAN repository to the Machine and Install R Package We will install the “R” package using the CRAN (Comprehensive “R” Archive Network). Where “R” has the community well know for the packages generated by the users in a specific area of study.

“R” is an open-source programming language which can be specially used for statistical computing and performing analytical data. In this article, we will learn how to install and configure R on Ubuntu 16.01.

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