R/C2/Conditional-Statements/English

Title of the script: Conditional Statements

Author: Varshit Dubey (CoE Pune) and Sudhakar Kumar (IIT Bombay)

Keywords: R, RStudio, conditional, if, else, else if, video tutorial

Visual Cue	Narration
Show slide Opening Slide	Welcome to this tutorial on Conditional Statements.
Show slide Learning Objective	In this tutorial, we will learn about, Conditional statements if, else, and else if statements
Show slide Pre-requisites https://spoken-tutorial.org/	To understand this tutorial, you should know, Basic data structures Indexing and slicing data frames If not, please locate the relevant tutorials on R on this website.
Show slide System Specifications	This tutorial is recorded on Ubuntu Linux OS version 16.04 R version 3.4.4 RStudio version 1.1.463 Install R version 3.2.0 or higher.
Show slide Download Files	For this tutorial, we will use A data frame moviesData.csv A script file conditionalStats.R. Please download these files from the Code files link of this tutorial.
[Computer screen] Highlight moviesData.csv and conditionalStats.R in the folder conditionalStatements	I have downloaded and moved these files to conditionalStatements folder. This folder is located in myProject folder on my Desktop. I have also set conditionalStatements folder as my Working Directory.
Show slide Conditional Statements	Conditional statements are used to execute some logical conditions in the code. if, else and else if are the basic conditional statements.
	Let us switch to RStudio.
Highlight conditionalStats.R in the Files window of RStudio	Open the script conditionalStats.R in RStudio.
Highlight inScore in the Source window	Here, we have declared a vector inScore. The elements of this vector represent the runs scored by India in three different one-day matches.
Highlight ausScore in the Source window	Similarly, we have declared another vector ausScore. The elements of this vector represent the runs scored by Australia in three different one-day matches.
Highlight the Source button	Run this script by clicking on the Source button.
Highlight movies in the Source window	movies data frame opens in the Source window. This data frame will be used later in this tutorial.
Highlight the script conditionalStats.R in the Source window	Click on the script conditionalStats.R
Highlight inScore and ausScore in the Source window	Let us now find which country has won the first one day match.
[RStudio] if(inScore[1] > ausScore[1]){ print("India won the first ODI!") }	In the Source window, type the following command.
Highlight if in the Source window	It means that if the condition is TRUE then execute the expression inside the curly brackets.
Highlight Run button in the Source window	Save the script and run the current line by pressing Ctrl+Enter keys simultaneously.
	I will resize the Console window.
Highlight the output in the Console window	As India scored more runs than Australia in the first one day match, the message, India won the first ODI!, is displayed.
Highlight inScore and ausScore in the Source window	Let us now find which country won the second one day match.
	I will resize the Console window.
[RStudio] if (inScore[2] > ausScore[2]){ print("India won the second ODI!") }	In the Source window, type the following command.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight inScore and ausScore in the Source window. Highlight the output in the Console window	As Australia scored more runs than India in the second one day match, we should get a message, Australia won the second ODI!. But no message is displayed on the Console.
Highlight the last if statement in the Source window	Here the if statement will be executed only when India scores more runs than Australia. Hence, we need to add an else statement with another expression. This expression should be executed when the if condition is not satisfied.
Highlight the last if statement in the Source window	Click on the last line of the if statement.
[RStudio] else{ print("Australia won the second ODI!") }	Now, type the following command. Please note that else statement begins on the same line where if statement ends.
Highlight Run button in the Source window	Save the script and run the current line.
	I will resize the Console window.
Highlight the output in the Console window	Now, we get a message, Australia won the second ODI!
Highlight the if-else statement in Source window	There is another efficient way to write this if-else statement.
[RStudio] ifelse (inScore[2] > ausScore[2], "India won the second ODI!", "Australia won the second ODI!")	In the Source window, type the following command.
Highlight ifelse in the Source window	Here, we are using ifelse for comparing the elements of two different vectors.
Highlight ifelse in the Source window Highlight inScore[2] > ausScore[2] in the Source window	Here the ifelse statement has three arguments. test - It is an object which can be forced to a logical mode. Here test is for the comparison of scores.
Highlight India won the second ODI! in the Source window	yes - It returns values for true elements of the test. Here, the first statement represents the value of the true element.
Highlight Australia won the second ODI! in the Source window	no - It returns values for false elements of test The second statement represents the value of the false element.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight the output in the Console window	We get the same message, Australia won the second ODI! In the Source window, scroll up to locate the two vectors .
Highlight inScore and ausScore in the Source window	In the third ODI, India and Australia have scored the same number of runs. Let us use an if-else logic to find out the winner in this case.
[RStudio] if (inScore[3] > ausScore[3]){ print("India won the third ODI!") } else{ print("Australia won the third ODI!") }	In the Source window, click on the next line after the ifelse statement. Now type the following command.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight the output in the Console window	We get the message, Australia won the third ODI! This is not correct.
Highlight the if-else statement in the Source window	So, we need to modify our logic.
[RStudio] if (inScore[3] > ausScore[3]){ print("India won the third ODI!") } else if (inScore[3] == ausScore[3]){ print("Third ODI was a tie.") } else { print("Australia won the third ODI!") }	In the Source window, type the following command. Please note that else if statement begins on the same line where if statement ends.
Highlight Run button in the Source window	Run the current line.
	I will resize the Console window.
Highlight the output in the Console window	Now, we got the correct message, Third ODI was a tie.
Highlight the last if-else statement in the Source window	A conditional structure contains, only one if statement. It may contain as many else if statements as you need and only one else statement. The else statement will be executed only when all the above if and else if statements are FALSE.
Highlight ifelse statement in the Source window	In the Source window, scroll up. Here, we have used ifelse for comparing the elements of two different vectors.
Highlight ifelse in the Source window	Now, we will learn how to use ifelse statements for comparing the two columns of a data frame.
Highlight movies in the Source window	In the Source window, scroll down to locate the last if-else statement. In the Source window, click on movies data frame.
Highlight the scroll bar in the Source window	In the Source window, scroll from left to right. This will enable us to see the remaining objects of movies data frame.
Highlight audience_score and critics_score in movies	Let us compare the critics_score and audience_score . We will add a new column named dev in the movies data frame, which will show 1, if audience_score is greater than critics_score 0, otherwise.
Highlight the script conditionalStats.R in the Source window	Click on the script conditionalStats.R
[RStudio] movies$dev <- ifelse(movies$audience_score > movies$critics_score, 1, 0) View(movies)	In the Source window, type the following command.
Highlight Run button in the Source window	Save the script and run the last two lines.
Highlight movies in the Source window	movies data frame opens in the Source window.
Highlight the scroll bar in the Source window	In the Source window, scroll from left to right.
Highlight dev in movies	A new column named dev has been added. It has 1 or 0. Remember, 1 means audience_score is greater than critics_score. Now, we will find the number of movies, in which audience_score is greater than critics_score. For this, we will use the sum function along with the if condition.
Highlight the script conditionalStats.R in the Source window	Click on the script conditionalStats.R
[RStudio] sum(ifelse(movies$audience_score > movies$critics_score, 1, 0))	In the Source window, type the following command.
Highlight Run button in the Source window	Save the script and run the current line.
Highlight the output in the Console window	So, there are 312 movies, in which audience_score is greater than critics_score.
	Let us summarize what we have learnt.
Show slide Summary	In this tutorial, we have learnt about, Conditional statements if, else, and else if statements
Show slide Assignment	We now suggest an assignment. Use the built-in data set iris . Find the Species, in which Sepal.Length is greater than Petal.Length Count all such Species.
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Show Slide Acknowledgment	The Spoken Tutorial project is funded by NMEICT, MHRD, Govt. of India
Show Slide Thank You	The script for this tutorial was contributed by Varshit Dubey (CoE Pune). This is Sudhakar Kumar from IIT Bombay signing off. Thanks for watching.

Contributors and Content Editors

Nancyvarkey, Sudhakarst