Lecture 5

Hello friends, welcome back to the course of Foundation of R-Software. In this lecture, we are going to talk about RStudio software. You may remember that in the last lecture, we talked a little about RStudio software. I requested all of you to download and install RStudio software on your computer. And try to see what it looks like, what are the options. Today, we will talk in the same direction. And I would like to remind you again that RStudio software is a very good friend of RSoftware. It helps us. What we are working on is inside RSoftware. But RStudio is its face. Whatever we are doing, RSoftware is working behind RStudio software. And I would like to clarify one more thing. RStudio is a software. And we have other softwares that help us work in RSoftware. I have taken RStudio software here. But it does not mean that I am advertising RStudio software. Or I favor it a lot. You can take any software. I have no objection to it. My objective here is that I want to show you. What is the difference between working inside RSoftware and working in an external software? And how do we work it? And we hope that if we take an example of RStudio and explain it to you. If you want to work in any other software, you will not have any such problem. So let's start the lecture with this objective. And we will try to learn about RStudio. In the last lecture, I told you to go to rstudio.com. This is our website. And from here, you can go to the download section. Click on this place. You can download its free version. And you can install it. And when you install it on your computer. And when you click on the RStudio icon. You will see a window like this. And this is the screenshot of the RStudio window. I will show you in the screenshot. And we will try to show you what are the options in RStudio software. So you can see here that there are many windows. You have divided the screen into four parts. This is your window number one. Suppose this is our window number two. This is our window number three. And this is our window number four. So you will see that it looks like a text editor. Where we type our commands. And if you try to recognize window number two. So it will look exactly the same as your R console. And the truth is that this is R console. And in window number three, you will see something like this. Here it is written environment, history, etc. So here we define our variables. And we have used which variables first. What were their values? What were their properties? You will see all this here. Similarly, in window number four, you have many options. Files, Plot, Packages, Help, Viewer, etc. There will be information about them. But now we will work. I have just given you an overview. Now we will show you these windows one by one. And what are their functions? What are their functions? We will show you this. But first of all, let us show you RStudio. How will it look? Here you will see where we are moving the cursor. This is our window number one. If you look below, what is this? This is your window number two. And if you try to recognize, then see how it looks to you. If you try to remember R console, then see this was your R console. If you look at it, you can see this R console in RStudio. This is your R console. Here you will write all your programs in this window number one. Here I am moving my cursor. This program and your functions and syntax will be executed here. This is your R console window. Similarly, this is the third window where I am showing my cursor. In this window, you will find out what are their variables. We will tell you about this one by one slowly. Similarly, you see this is the fourth window where our cursor is. Here you have files, plots, packages, help, viewer, etc. This is our fourth window. Now we will try to take these windows one by one. We will try to tell you about different functions of RStudio. But, I would like to tell you that RStudio has a lot of functions. We are not going to explain all the functions here. Instead, we will tell you about the common functions that we use frequently. With time, RStudio has added a lot of functionalities. We are not going to talk about the advanced functions of RStudio. As I said earlier, I have only one purpose that I want to tell you about an external software. I want to show you how to work in an external software. Whatever we do, it is actually done in RStudio. Let us take a small example and through that example, we will try to show you how to work in RStudio. For example, let us take these three commands library-mass, attach-bacteria, and fix-bacteria. Some of these commands are known to you and some of them are not. You know that mass is a built-in package and to load this library, we have to use the command library-mass. After that, in this mass package, there is a data set named bacteria. This bacteria is in this mass package. We want to open this mass package and edit it. For that, we have to use fix-bacteria. First of all, if we are working in R console, we have to go to the data editor and type these three commands. After that, if we want to use library-mass, we have to highlight it and press ctrl-r. Now, we will do the same thing in R studio. We will highlight the command library-mass and press one button named run. So, if we want to execute all these commands, we have to highlight them. After highlighting, we have to press ctrl-r in R console. We can do the same by pressing run command. I will show you these things in R studio. First, I will show you through screenshot. Here, I have written library-mass, attached-bacteria, and fix-bacteria. First of all, highlight the command library-mass. After highlighting, we have to press run command. After clicking, you will see library-mass in R console. Now, try to understand what is happening here. You may remember when you started working in R console, you used library-mass command to upload your mass package. Now, how did you do the same thing here? You highlighted library-mass, but it was easy to do it. You don't have to remember ctrl-r command. You can run by pressing run command. This is one of the features of R studio. We will talk about some other commands later. Now, you have executed the function of library-mass. If you highlight library-mass and press ctrl-enter, then you will execute the function of library-mass. This is similar to R console. Now, we will show you how to do it in R studio. We will copy these three commands to save time. Now, we will highlight library-mass and press ctrl-enter. Now, you have to observe that when we highlight library-mass and press run command, you will see library-mass. This is the same command we used to upload a package. Now, we have to attach this bacteria. We have to click R function. If you click on source function, then you will see the values of bacteria data set. Now, if you highlight fixed bacteria, you will see this file. Now, if you look at window number 3, you will see that there are 6 variables of bacteria data set. If you click on this, you will see this command. Why view bacteria? Because you have clicked this command. Now, let's go back to the slide. In the slide, I would like to tell you that how to use matrix in R. I will tell you in next lecture. Now, we are talking about R studio functions. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. You can use R studio functions in R studio. 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