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One of the main strengths of R is not very
nice looking syntax of course, it’s the

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abundance of packages.

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So if you go to cran.r-project.org, this is
The Comprehensive R Archive Network.

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You have a link here for packages and you
see here table of available packages.

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You can also sort by date or name, so you
get around 15,349 packages.

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And that’s a lot so I’m audio guy.

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So lets have a look over here for audio.

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So there’s and audio package.

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If you want to install such a package in R,
its pretty straightforward.

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What you need to do is you say, ‘install.packages’
and then you say the name of the package,

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‘audio’ and then you just execute.

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It asks me whether I want to compile it from
source, this is fine.

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So a lot of the R packages are written C or
C++ so you need to have a C compiler installed,

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and then the package is compiled on your machine
for you.

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So this is done, in order to use the package
you need to load it.

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Say library or you can also say require, it
doesn’t matter and then you say audio.

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So now the package is loaded and you see that
also here, that the audio package is now loaded.

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And now you can use it.

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So, if you want to have a look at the source
code or some examples, you can just drill

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down from the R archive.

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So I’m going here to this URL, and you see
here it’s a little example.

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So this should play a sine wave, lets actually
have a look whether I can connect to my microphone

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with my speaker.

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If that works, ok can you hear that?

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Ok so that is an example how easy it is to
install and use packages in R. And the problem

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is not that you wont find a package for a
specific task, the problem is more that you

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have five or ten different packages for a
specific task.

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And you need to read a lot and decide which
one you are using.

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So in the next video I will, how to plot in
R studio usning ggplot.