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Hello
my friends, welcome to this new tutorial.

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In this one I'm going to show you how
to install R and RStudio on your machine.

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All right so let's do this.
We have to start with R.

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So here in the search bar
we're going to type create n press enter.

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And we're going to click the first link
of the comprehensive R archive network.

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Because that's exactly
where we can download and install R

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for the three systems
Linux, Mac OS and windows.

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So let me show you quickly how to do it
for the three starting with Linux.

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Download R for Linux.

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So here
make sure to choose your Linux system.

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For example,
I'm going to show this to you for ubuntu.

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And then you simply need
to follow the instructions here.

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So you open your Linux terminal.

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Then you're going to enter
these four command lines, after which

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you will run this command line
to install R and its dependencies.

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And that's it.

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That's all you need to do on Linux.

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You just install R
by running these commands.

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All right.

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So now let me show you how to do this
for windows.

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For windows I recommend to click base here
because this is the easy option

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if you want to install R
for the first time.

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So let's do this. Let's choose this one.

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And then you simply click this link
to install the latest version.

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You might get a different one
when you take this tutorial.

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At the time I'm speaking it is 4.2.2.

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All right I'm on a mac,
so I'm not going to download here.

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And well,

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speaking of Mac, I'm going to show you now
how to download or from Mac OS.

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So we click this link here.

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Then we're going to take the latest
release again.

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And then make sure here
to select the right package file

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according to your Mac OS system.

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So for Mac OS 11 Big Sur and higher Apple
Silicon Arm64 this is what you want.

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And then for Mac OS 10.13 High
Sierra and higher Intel 64 bit.

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This is what you want.

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So as far as I'm concerned I'm
in this case.

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And so I'm going to click this link
to download the version 4.2.24.

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And so I'm going to click save.

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And this will download.

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there we go. It was very fast.

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So now I'm going to go to my downloads
folder.

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I'm going to double click it.

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And then we're just going to 
click continue here

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to install or on our machine.

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Agree and install. There we go.

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And now it is installing.

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and perfect installation was successful.

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Great. So now you have on your machine.

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That's great.
But we want an easy interface.

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You know a very user friendly interface
when coding with R.

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And that's why it's also very good
to install RStudio.

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So we're going to go back
to our favorite browser.

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And this time we're going to enter
R studio.

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There we go RStudio.

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You click the first link
and you're going to download our studio.

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So let's click this link first.

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There we go to RStudio IDE.

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That's exactly what we want.

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And we're going to take the RStudio
desktop.

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So let's click download RStudio again.

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Then let's scroll down and let's
find the right one for our system.

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So download and install R.

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We've already done it on Cran.

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And if you scroll down
you will find RStudio for your system.

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All right windows Mac OS, ubuntu
ubuntu 22 and some more below

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okay so here I'm on a mac.

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So again I'm going to take this one
then save done.

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So now I'm going to go back
to my downloads folder.

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I'm going to double click this one.

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Now I'm going to put it
in my applications.

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And in a second I will have RStudio
installed on my machine.

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So let's close this.

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And now let's open RStudio.

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And let me introduce you to it.

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So I'm going to find it right here.

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Open. And welcome to our studio.

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All right.

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So first we can see that
RStudio is divided into three panels.

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This panel here
which is the console where you can execute

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some code like for example
two plus two and press enter.

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Then this is the environment panel
where the variables of

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your code will be created
when you execute it.

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And then the third panel here

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which is your files,
you know from your computer

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where you can access your codes
and your data set.

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So for example, let's go to my desktop
where I have the whole machine learning

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is that code and data sets folder.

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Then let's enter it.

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Let's take for example part two regression
and the simplest model

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simple linear regression.

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And then the R folder.

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So here you can find the code
of disciplinary aggression model

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the R code right.

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And then the data set salary data dot csv.

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So to open the model
you simply click on it.

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It will appear here in the fourth panel
where you can edit the code in this.

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Awful. Right.

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So now just for fun, just to give us
an exciting introductory note on R,

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let's execute this code.

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But before we execute it,
the first thing we always have to do

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is to set this
folder as working directory folder

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so that when we import the data set here,

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while the console knows where
to access it, which is in this folder.

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And so to set this folder as working

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directory we simply click more here
and then set as working directory.

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There we go.

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And now we can simply select
the whole code here

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and then press Command or Control
plus enter to execute it.

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And there we go.

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As you can see
now the code is execute in the console.

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And soon enough we can see our variables
in the environment.

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All the variables that are in this code
and the two plots

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of the training set and the test set.

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Of course, all these steps
will be explained in details

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when we implement a simple linear
regression model.

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This was just a teaser
of what we're going to do in R.

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And speaking of which,

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I look forward to seeing you
in the next practical activities on Python

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and R to implement our models,
and until then, enjoy machine learning.