Compute the Correlation Coefficient Value between Two Vectors in R Programming - cor() Function

Last Updated : 15 Jul, 2025
cor() function in R Language is used to measure the correlation coefficient value between two vectors.
Syntax: cor(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(cor(x, y, method = "pearson"))
Output: 
[1] 0.9724702
Example 2: Python3 1==
# Data vectors 
x <- c(1, 3, 5, 10) 
  
y <- c(2, 4, 6, 20) 
  
# Print covariance using Pearson method
print(cor(x, y, method = "kendall"))
Output: 
[1] 1
Example 3: Python3 1==
# Data vectors 
x <- c(1, 3, 5, 10) 
  
y <- c(2, 4, 6, 20) 
  
# Print covariance using Pearson method
print(cor(x, y, method = "spearman"))
Output: 
[1] 1
Comment

Explore