Difference between revisions of "R/C2/Overview-of-R-and-RStudio/English"
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− | |'''Visual | + | |'''Visual Cue''' |
− | |''' | + | |'''Narration''' |
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|| Show slide | || Show slide | ||
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Learning Objectives | Learning Objectives | ||
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|| In this tutorial, we will learn: | || In this tutorial, we will learn: | ||
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* About '''RStudio''' | * About '''RStudio''' | ||
* Topics covered in this series | * Topics covered in this series | ||
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* '''R''' version '''3.4.4''' | * '''R''' version '''3.4.4''' | ||
* '''RStudio''' version '''1.2.5033''' | * '''RStudio''' version '''1.2.5033''' | ||
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It is recommended to install '''R''' version '''3.2.0''' or higher. | It is recommended to install '''R''' version '''3.2.0''' or higher. | ||
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About R | About R | ||
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|| Let us first see what''' R '''is. | || Let us first see what''' R '''is. | ||
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* '''R''' is used in statistics, data analysis, and machine learning algorithms. | * '''R''' is used in statistics, data analysis, and machine learning algorithms. | ||
* It is a free/libre open source software. | * It is a free/libre open source software. | ||
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|| Show slide | || Show slide | ||
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Features of R | Features of R | ||
|| Some of its salient features are: * '''R''' provides support for both procedural programming and object-oriented programming. | || Some of its salient features are: * '''R''' provides support for both procedural programming and object-oriented programming. | ||
* '''R '''can be integrated with other programming languages like '''C, C++, Python, Java''', etc. | * '''R '''can be integrated with other programming languages like '''C, C++, Python, Java''', etc. | ||
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* '''R '''has more than 10,000 packages in its repository. | * '''R '''has more than 10,000 packages in its repository. | ||
* '''R''' is cross-platform compatible. | * '''R''' is cross-platform compatible. | ||
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|| Show slide | || Show slide | ||
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|| * '''R '''facilitates complex operations with '''vectors, arrays''', and '''data frames'''. | || * '''R '''facilitates complex operations with '''vectors, arrays''', and '''data frames'''. | ||
* '''R '''has community support of avid developers. | * '''R '''has community support of avid developers. | ||
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|| Show Slide | || Show Slide | ||
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Applications of R | Applications of R | ||
|| '''R '''is extensively used in-* Fraud detection especially in the finance and banking sectors. | || '''R '''is extensively used in-* Fraud detection especially in the finance and banking sectors. | ||
* Social media analysis to discover potential customers in online advertising. | * Social media analysis to discover potential customers in online advertising. | ||
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|| Show Slide | || Show Slide | ||
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Applications of R | Applications of R | ||
|| * Healthcare to perform pre-clinical trials and analyze the drug-safety data. | || * Healthcare to perform pre-clinical trials and analyze the drug-safety data. | ||
* E-Commerce companies to analyze the purchases made by customers. | * E-Commerce companies to analyze the purchases made by customers. | ||
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|| ANZ Bank:* '''ANZ Bank''', the fourth largest bank in '''Australia''', uses '''R''' for '''credit risk analysis. ''' | || ANZ Bank:* '''ANZ Bank''', the fourth largest bank in '''Australia''', uses '''R''' for '''credit risk analysis. ''' | ||
* It also uses '''R''' to fit models for mortgage loss. | * It also uses '''R''' to fit models for mortgage loss. | ||
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|| Facebook:* '''Facebook''' uses '''R''' for '''exploratory data analysis, experimental analysis,''' etc. | || Facebook:* '''Facebook''' uses '''R''' for '''exploratory data analysis, experimental analysis,''' etc. | ||
* It also uses '''R''' for analyzing user behavior like status updates and profile pictures. | * It also uses '''R''' for analyzing user behavior like status updates and profile pictures. | ||
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|| Google:* '''Google''' uses '''R''' to calculate return on investment on advertising campaigns. | || Google:* '''Google''' uses '''R''' to calculate return on investment on advertising campaigns. | ||
* It also uses '''R''' to improve the efficiency of online advertising. | * It also uses '''R''' to improve the efficiency of online advertising. | ||
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[https://www.r-project.org/ https://www.r-project.org/] | [https://www.r-project.org/ https://www.r-project.org/] | ||
|| Let us now see the '''homepage''' of '''R'''. | || Let us now see the '''homepage''' of '''R'''. | ||
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This is the '''homepage''' of the '''R Project for Statistical Computing'''. | This is the '''homepage''' of the '''R Project for Statistical Computing'''. | ||
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|| Highlight '''About R''' on the right side of the home page | || Highlight '''About R''' on the right side of the home page | ||
|| Under the '''R Project''' section, click on '''About R.''' | || Under the '''R Project''' section, click on '''About R.''' | ||
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This will tell us more about''' R''' and its environment. | This will tell us more about''' R''' and its environment. | ||
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|| Highlight the Terminal on your computer | || Highlight the Terminal on your computer | ||
|| Now we will see the '''command line''' interface of '''R'''. | || Now we will see the '''command line''' interface of '''R'''. | ||
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I have already installed '''R''' on my machine. So, I will launch '''R''' from the '''terminal'''. | I have already installed '''R''' on my machine. So, I will launch '''R''' from the '''terminal'''. | ||
|- | |- | ||
|| Press '''Ctrl''' + '''Alt''' + '''T''' keys on the keyboard. | || Press '''Ctrl''' + '''Alt''' + '''T''' keys on the keyboard. | ||
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Highlight the '''Terminal.''' | Highlight the '''Terminal.''' | ||
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Type '''R''' in the terminal. | Type '''R''' in the terminal. | ||
|| Press '''Ctrl''' + '''Alt''' + '''T''' keys on the keyboard to open a '''terminal '''window. | || Press '''Ctrl''' + '''Alt''' + '''T''' keys on the keyboard to open a '''terminal '''window. | ||
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Now, in the '''terminal''', type capital '''R''' and press '''Enter'''. | Now, in the '''terminal''', type capital '''R''' and press '''Enter'''. | ||
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|| Highlight '''R '''command-line interface | || Highlight '''R '''command-line interface | ||
|| The '''command-line''' interface of '''R''' opens. | || The '''command-line''' interface of '''R''' opens. | ||
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In the '''terminal''', scroll up. | In the '''terminal''', scroll up. | ||
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Notice that''' R''' version 3.4.4 is installed on my machine. | Notice that''' R''' version 3.4.4 is installed on my machine. | ||
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Now, scroll down. | Now, scroll down. | ||
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|| Highlight '''R '''command-line interface | || Highlight '''R '''command-line interface | ||
|| Here, we can type the '''commands''' to be executed in''' R'''. | || Here, we can type the '''commands''' to be executed in''' R'''. | ||
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As an example, we’ll evaluate the value of 10 raised to the power of 0.1. | As an example, we’ll evaluate the value of 10 raised to the power of 0.1. | ||
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* It includes a '''console''' and an '''editor'''. | * It includes a '''console''' and an '''editor'''. | ||
* It provides tools for plotting, '''debugging''' and '''workspace''' management. | * It provides tools for plotting, '''debugging''' and '''workspace''' management. | ||
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[https://rstudio.com/ https://rstudio.com/] | [https://rstudio.com/ https://rstudio.com/] | ||
|| Let us now see the '''homepage''' of '''RStudio'''. | || Let us now see the '''homepage''' of '''RStudio'''. | ||
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There is a lot of information about '''RStudio''' on this page. | There is a lot of information about '''RStudio''' on this page. | ||
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You can go through it in detail, later. | You can go through it in detail, later. | ||
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|| | || | ||
|| Now let’s get familiar with the '''RStudio '''interface. | || Now let’s get familiar with the '''RStudio '''interface. | ||
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I have already installed '''RStudio''' on my machine. | I have already installed '''RStudio''' on my machine. | ||
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|| Highlight the '''Terminal ''' | || Highlight the '''Terminal ''' | ||
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Type '''rstudio''' and press '''Enter'''. | Type '''rstudio''' and press '''Enter'''. | ||
|| Press '''Ctrl''' + '''Alt''' + '''T''' keys together to open a new '''terminal '''window. | || Press '''Ctrl''' + '''Alt''' + '''T''' keys together to open a new '''terminal '''window. | ||
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In the '''terminal''', type '''rstudio''' and press '''Enter'''. | In the '''terminal''', type '''rstudio''' and press '''Enter'''. | ||
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|| Highlight the '''Console''' Window | || Highlight the '''Console''' Window | ||
|| '''RStudio''' is launched. | || '''RStudio''' is launched. | ||
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In the bottom left panel of '''RStudio''', we can see the '''Console''' window. | In the bottom left panel of '''RStudio''', we can see the '''Console''' window. | ||
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In the '''Console''', '''R''' is waiting for us to type a '''command'''. | In the '''Console''', '''R''' is waiting for us to type a '''command'''. | ||
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Let us draw a simple''' pie chart'''. | Let us draw a simple''' pie chart'''. | ||
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'''pie(1:5)''' | '''pie(1:5)''' | ||
|| In the '''Console''' window, type '''p i e''' and in parentheses one '''colon''' five. | || In the '''Console''' window, type '''p i e''' and in parentheses one '''colon''' five. | ||
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Press '''Enter'''. | Press '''Enter'''. | ||
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Point to the '''current working directory'''. | Point to the '''current working directory'''. | ||
|| In the bottom right panel of '''RStudio''', we have the '''Files''' tab. | || In the bottom right panel of '''RStudio''', we have the '''Files''' tab. | ||
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Click on the '''Files''' tab. | Click on the '''Files''' tab. | ||
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It shows the '''current working directory'''. | It shows the '''current working directory'''. | ||
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We will learn about other tabs later in this series. | We will learn about other tabs later in this series. | ||
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|| These two tutorials will teach how to install '''R''' and '''RStudio''' on '''Linux''' and '''Windows''' OS.# Installing R and RStudio on Linux. | || These two tutorials will teach how to install '''R''' and '''RStudio''' on '''Linux''' and '''Windows''' OS.# Installing R and RStudio on Linux. | ||
# Installing R and RStudio on Windows. | # Installing R and RStudio on Windows. | ||
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# Introduction to R script | # Introduction to R script | ||
# Working directories in RStudio | # Working directories in RStudio | ||
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|| We’ll also learn how to store and analyze our '''Data Frames'''. | || We’ll also learn how to store and analyze our '''Data Frames'''. | ||
− | + | These three tutorials and the next three tutorials will teach the basics of using '''Data frames '''and''' lists'''. | |
− | These three tutorials and the next three tutorials will teach the basics of using '''Data frames '''and''' lists'''. # Indexing and Slicing Data Frames | + | # Indexing and Slicing Data Frames |
# Creating Matrices using Data Frames | # Creating Matrices using Data Frames | ||
# Operations on Matrices and Data Frames | # Operations on Matrices and Data Frames | ||
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− | These two tutorials will teach how to draw '''histograms, pie charts, bar charts, '''etc. # Plotting Histograms and Pie Chart | + | These two tutorials will teach how to draw '''histograms, pie charts, bar charts, '''etc. |
+ | # Plotting Histograms and Pie Chart | ||
# Plotting Bar Charts and Scatter Plot | # Plotting Bar Charts and Scatter Plot | ||
Revision as of 23:24, 13 May 2020
Title of the script: Overview of R and RStudio
Author: Madhuri Ganapathi and Sudhakar Kumar (IIT Bombay)
Keywords: R, RStudio, command-line interface, pie chart, programming, video tutorial
Visual Cue | Narration |
Show slide
Opening Slide |
Welcome to this spoken tutorial on Overview of R and RStudio. |
Show slide
Learning Objectives |
In this tutorial, we will learn:
|
Show slide
System Specifications |
This tutorial is recorded on
It is recommended to install R version 3.2.0 or higher. |
Show slide
Prerequisites |
To follow this series, the learner should have knowledge of basic Mathematics and Statistics. |
Show slide
About R |
Let us first see what R is.
|
Show slide
Features of R |
Some of its salient features are: * R provides support for both procedural programming and object-oriented programming.
|
Show slide
Features of R |
* R is capable of effective data handling and storage.
|
Show slide
Features of R |
* R facilitates complex operations with vectors, arrays, and data frames.
|
Show Slide
Applications of R |
R is extensively used in-* Fraud detection especially in the finance and banking sectors.
|
Show Slide
Applications of R |
* Healthcare to perform pre-clinical trials and analyze the drug-safety data.
|
Now, we will learn about some of the companies that use R. | |
Show Slide
Names of the companies that use R |
ANZ Bank:* ANZ Bank, the fourth largest bank in Australia, uses R for credit risk analysis.
|
Show Slide
Names of the companies that use R |
Facebook:* Facebook uses R for exploratory data analysis, experimental analysis, etc.
|
Names of the companies that use R | Google:* Google uses R to calculate return on investment on advertising campaigns.
|
Web browser | Let us now see the homepage of R.
This is the homepage of the R Project for Statistical Computing. |
Highlight download R on the home page | Here, we can download R. |
Highlight About R on the right side of the home page | Under the R Project section, click on About R.
This will tell us more about R and its environment. |
I will scroll down the page. | |
Highlight Getting Help on the right side of the home page | Under the section Help With R, click on Getting Help to know how to get help. |
Highlight the Terminal on your computer | Now we will see the command line interface of R.
I have already installed R on my machine. So, I will launch R from the terminal. |
Press Ctrl + Alt + T keys on the keyboard.
Highlight the Terminal. Type R in the terminal. |
Press Ctrl + Alt + T keys on the keyboard to open a terminal window.
Now, in the terminal, type capital R and press Enter. |
Highlight R command-line interface | The command-line interface of R opens.
In the terminal, scroll up. Notice that R version 3.4.4 is installed on my machine. Now, scroll down. |
Highlight R command-line interface | Here, we can type the commands to be executed in R.
As an example, we’ll evaluate the value of 10 raised to the power of 0.1. |
R console:
Type 10^0.1 |
Type 10 carat sign 0.1 and press Enter. |
Highlight the value in the Terminal | The expected value is being displayed on the R terminal window. |
Now, we will learn about RStudio. | |
Show slide
About RStudio |
* RStudio is an integrated development environment for R.
|
Web browser | Let us now see the homepage of RStudio.
There is a lot of information about RStudio on this page. You can go through it in detail, later. |
Now let’s get familiar with the RStudio interface.
I have already installed RStudio on my machine. So, I will launch RStudio using the terminal. | |
Highlight the Terminal
Type rstudio and press Enter. |
Press Ctrl + Alt + T keys together to open a new terminal window.
In the terminal, type rstudio and press Enter. |
Highlight the Console Window | RStudio is launched.
In the bottom left panel of RStudio, we can see the Console window. In the Console, R is waiting for us to type a command. Let us draw a simple pie chart. |
RStudio
pie(1:5) |
In the Console window, type p i e and in parentheses one colon five.
Press Enter. |
Highlight the pie chart in the Plots window | The expected pie chart is generated in the Plots window. |
Highlight Environment and History window | Apart from this, we have Environment and History tabs.
Here all the used variables and commands are stored. |
Highlight Files window.
|
In the bottom right panel of RStudio, we have the Files tab.
Click on the Files tab. It shows the current working directory. We will learn about other tabs later in this series. |
Let’s now have a look at the content that will be covered in the R series. | |
Show Slide
Installing R and RStudio |
These two tutorials will teach how to install R and RStudio on Linux and Windows OS.# Installing R and RStudio on Linux.
|
Show Slide
Basics of R and RStudio |
These five tutorials will cover the basics of R, Data Frames in R and RStudio.# Introduction to basics of R.
|
Show Slide
Basics of data frames and lists |
We’ll also learn how to store and analyze our Data Frames.
These three tutorials and the next three tutorials will teach the basics of using Data frames and lists.
|
Show Slide
Basics of data frames and lists |
# Merging and Importing Data
|
Show Slide
Visualizing data using plots |
Next, we will learn how to visualize our data using simple plots and charts.
|
Show Slide
Customizing plots using ggplot2 |
After this, we will see how to customize our plots using the ggplot2 package.
|
Show Slide
Manipulating data using dplyr |
Then we will learn how to manipulate our data using the dplyr package and pipe operator.
|
Show Slide
Using conditional statements |
At last, we will learn how to use conditional statements in R and to create user-defined functions.# Conditional Statements
|
Show Slide
Advanced Level Topics |
* Later on, we may add a few more advanced level topics in this series.
|
This completes the overview of spoken tutorials on the R series. | |
Let us summarize. | |
Show slide
Summary |
In this tutorial, we have learned
|
Show slide
About the Spoken Tutorial Project |
The video at the following link summarises the Spoken Tutorial project.
Please download and watch it. |
Show slide
Spoken Tutorial Workshops |
We conduct workshops using Spoken Tutorials and give certificates.
|
Show Slide
Spoken Tutorial Forum to answer questions |
Do you have questions in THIS Spoken Tutorial?
Choose the minute and second where you have the question.Explain your question briefly. Someone from the FOSSEE team will answer them. Please visit this site. |
Show Slide
Spoken Tutorial Forum for specific questions: |
The Spoken Tutorial forum is for specific questions on this tutorial.
Please do not post unrelated and general questions on them. This will help reduce the clutter. With less clutter, we can use these discussions as instructional material. |
Show Slide
Forum to answer questions |
Do you have any general/technical questions?
Please visit the forum given in the link. |
Show Slide
Textbook Companion |
The FOSSEE team coordinates the coding of solved examples of popular books.
We give honorarium and certificates to those who do this. For more details, please visit these sites. |
Show Slide
Acknowledgment |
The Spoken Tutorial project is funded by NMEICT, MHRD, Govt. of India |
Show Slide
Thank You |
This tutorial is contributed by Sudhakar Kumar and Madhuri Ganapathi from IIT Bombay. Thank you for watching. |