R is a versatile open source programming language that is widely used by statisticians and data miners. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand and is an implementation of the programming language S.
For Windows, click "Download R for Windows", then go to "base", and click "Download R 4.0.0 (or the latest version) for Windows".
For (Mac)OS X, click "Download R for (Mac)OS X", then choose the R.pkg file according to your OS X version.
For Linux, click "Download R for Linux", then choose one of the four systems (debian, redhat, suse and ubuntu) and install it following the instructions.
You can also refer to these two websites for some installation guides:
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
RStudio is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or in a browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).
Before installing RStudio, you should firstly download and install R. Then download RStudio according to your operating system and computer bit size (32-bit or 64-bit).
Sometimes Googling a problem may be better because you are more specifically identifying your problem which may in fact lead you to either of two sites above.
From the Bioconductor Homepage...
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 934 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).
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