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Compute the Covariance between Two Vectors in R Programming – cov() Function
  • Last Updated : 10 Jun, 2020
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cov() function in R Language is used to measure the covariance between two vectors.

Syntax: cov(x, y, method)

Parameters:
x, y: Data vectors
method: Type of method to be used

Example 1:




# Data vectors 
x <- c(1, 3, 5, 10
    
y <- c(2, 4, 6, 20
    
# Print covariance using Pearson method
print(cov(x, y, method = "pearson")) 

Output:



[1] 30.66667

Example 2:




# Data vectors 
x <- c(1, 3, 5, 10
    
y <- c(2, 4, 6, 20
    
# Print covariance using Pearson method
print(cov(x, y, method = "kendall")) 

Output:

[1] 12

Example 3:




# Data vectors 
x <- c(1, 3, 5, 10
    
y <- c(2, 4, 6, 20
    
# Print covariance using Pearson method
print(cov(x, y, method = "spearman")) 

Output:

[1] 1.666667

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