Compute the Value of F Density in R Programming - df() Function

Compute Variance and Standard Deviation of a value in R Programming – var() and sd() Function

Last Updated : 26 May, 2020

var() function in R Language computes the sample variance of a vector. It is the measure of how much value is away from the mean value.

Syntax: var(x)

Parameters:
x : numeric vector

Example 1: Computing variance of a vector

# R program to illustrate 
# variance of vector 
  
# Create example vector 
x <- c(1, 2, 3, 4, 5, 6, 7)    
  
# Apply var function in R  
var(x)                        
  
print(x) 

Output:

 4.667

Here in the above code, we took an example vector “x1” and calculated its variance.

sd() Function

sd() function is used to compute the standard deviation of given values in R. It is the square root of its variance.

Syntax: sd(x)

Parameters:
x: numeric vector

Example 1: Computing standard deviation of a vector

# R program to illustrate 
# standard deviation of vector 
  
# Create example vector 
x2 <- c(1, 2, 3, 4, 5, 6, 7)  
  
# Compare with sd function 
sd(x2)                           
  
print(x2) 

Output: 2.200

Here in the above code, we took an example vector “x2” and calculated its standard deviation.

Compute the Value of F Density in R Programming - df() Function

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