How to create a random sample with values 0 and 1 in R?

R ProgrammingServer Side ProgrammingProgramming

It is known that the random sample can be created by using sample function in R. If we want to create a random sample with values 0 and 1 only then there are three different ways to pass them inside the sample function −

  • Creating a vector of 0 and 1

  • Using 0:1

  • Using c(1,2) directly inside the function.

Also, we can set replace argument to TRUE or FALSE based on our requirement.

Examples

 Live Demo

x1<-sample(0:1,size=50,replace=TRUE)
x1

Output

[1] 0 1 1 1 1 0 0 1 0 1 1 0 0 0 1 0 0 1 0 1 1 1 0 0 0 0 0 1 1 1 0 1 0 1 1 0 1 1
[39] 0 0 0 0 0 1 1 1 0 1 1 1

Example

 Live Demo

x2<-sample(c(0,1),size=100,replace=TRUE)
x2

Output

[1] 0 1 0 0 1 0 1 0 1 0 1 0 1 1 1 0 0 0 1 1 0 0 1 1 0 1 1 0 1 1 0 0 0 1 0 0 1
[38] 1 1 0 1 1 1 1 0 0 0 0 0 1 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 1 0 0 1 1 1 0 0 0
[75] 0 0 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 1 1 1 1 1 1 0

Example

 Live Demo

x3<-sample(c(0,1),size=150,replace=TRUE)
x3

Output

[1] 0 1 1 0 1 1 0 0 0 0 1 1 0 0 1 1 0 0 1 0 1 0 0 0 1 1 1 1 0 1 0 1 1 1 1 1 0
[38] 1 1 0 1 1 1 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 0 0 1 1 1 0 0 1 0 1 0 1 1 0 1 0
[75] 1 0 0 1 0 1 1 0 0 0 0 0 1 1 0 0 1 0 1 1 0 0 1 0 1 1 1 0 0 0 0 0 1 0 1 0 0
[112] 1 0 0 0 1 0 0 1 0 1 0 0 1 1 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0 1 1 1 0 1 0 0 0
[149] 1 1

Example

 Live Demo

x4<-sample(c(0,1),size=111,replace=TRUE)
x4

Output

[1] 0 1 0 1 0 0 1 1 1 1 0 1 1 1 0 1 0 0 1 1 1 0 0 1 1 0 0 1 0 1 0 1 0 0 1 0 1
[38] 0 0 0 1 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 1 0 1 0 0 0
[75] 0 1 1 1 0 1 1 1 0 0 0 1 1 1 1 1 0 1 0 0 1 0 1 0 1 0 1 1 1 0 0 0 1 1 0 1 1

Example

 Live Demo

x5<-sample(c(0,1),size=199,replace=TRUE)
x5

Output

[1] 1 0 0 1 0 1 1 0 1 1 0 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 0 0 1 1 0 1 1 1 1 0 1
[38] 1 1 1 1 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 0 1 1 0 0 0 1 1 0 1 1
[75] 0 0 1 0 0 1 1 0 1 0 0 1 1 0 1 0 0 0 0 1 0 1 1 1 1 0 1 1 1 0 0 0 0 1 0 1 1
[112] 1 0 1 1 1 1 1 1 0 1 0 1 0 1 0 0 0 1 1 1 1 1 0 1 1 0 1 1 0 1 0 0 1 1 0 0 0
[149] 1 0 0 0 0 1 1 1 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 0 1 0 1 1
[186] 1 1 1 1 0 0 0 1 1 1 0 0 0 1

Example

 Live Demo

x6<-sample(c(0,1),size=5,replace=TRUE)
x6

Output

[1] 0 1 1 1 0

Example

 Live Demo

x7<-sample(c(0,1),size=49,replace=TRUE)
x7

Output

[1] 0 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 1 0 0 1
[39] 1 1 0 0 0 0 1 1 0 1 1

Example

 Live Demo

x8<-sample(c(0,1),size=200,replace=TRUE)
x8

Output

[1] 0 1 0 0 1 0 0 1 0 0 0 0 0 1 1 0 1 0 1 1 0 1 0 1 1 0 0 1 1 0 0 1 0 1 1 0 1
[38] 0 0 0 0 1 1 0 0 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 0 1 1 0 1 1 0 1 0 0 1 1 1 0
[75] 0 1 1 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 0 1 1 0 0 0 1 0 1 0 0 1 0 1 1 0 1 0
[112] 0 0 1 1 1 0 0 1 1 1 1 0 0 1 1 1 0 0 1 1 0 0 1 0 1 1 1 0 0 1 1 1 0 1 0 0 0
[149] 0 0 0 0 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 1 1
[186] 1 0 1 0 0 1 1 0 1 1 0 1 1 1 0

Example

 Live Demo

x9<-sample(c(0,1),size=175,replace=TRUE)
x9

Output

[1] 1 1 0 1 1 1 1 1 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 0 1 0 0 1 0 1 1 0 1 1
[38] 0 0 0 1 1 0 1 0 0 1 0 1 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 1 1 1 0 1 0 1 0 0 1
[75] 1 1 1 1 0 0 1 0 1 1 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 1 0 0 1 1 0 1 1
[112] 0 1 0 0 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 1 1 1 1 1 0 0 1 0 0 1 0 0 0 1 0 0 1
[149] 0 0 0 1 1 1 0 1 1 0 0 1 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0

Example

 Live Demo

x10<-sample(c(0,1),size=101,replace=TRUE)
x10

Output

[1] 1 1 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 0 1 1 1 0 0 1 1 1 1 1 1 0 1 1 0 0 0 1 1
[38] 1 0 1 0 1 0 1 0 1 1 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 1 0 1 0 1 1 1 1 0 1 0 1
[75] 0 0 1 0 1 1 1 1 0 1 1 0 0 1 0 1 0 1 0 1 1 0 0 1 1 0 1
raja
Published on 17-Oct-2020 13:23:36
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