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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: Python3 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: Python3 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 = "kendall")) 
Output:
[1] 12
Example 3: Python3 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 = "spearman")) 
Output:
[1] 1.666667

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