Compute the beta value of Non-Negative Numeric Vectors in R Programming - beta() Function

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

Last Updated : 10 Jun, 2020

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

Compute the beta value of Non-Negative Numeric Vectors in R Programming - beta() Function

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