Computing Correlation Matrix in R

In R Programming Language, a correlation matrix can be completed using the cor( ) function, which has the following syntax:

 Syntax: cor (x, use = , method =    )

Parameters:

x: It is a numeric matrix or a data frame.
use: Deals with missing data.

• all.obs: this parameter value assumes that the data frame has no missing values and throws an error in case of violation.
• complete.obs: listwise deletion.
• pairwise.complete.obs: pairwise deletion.

method: Deals with a type of relationship. Either Pearson, Spearman, or Kendall can be used for computation. The default method used is Pearson. 

Correlation refers to the relationship between two variables. It refers to the degree of linear correlation between any two random variables. This Correlation Matrix in R can be expressed as a range of values expressed within the interval [-1, 1]. The value -1 indicates a perfect non-linear (negative) relationship, 1 is a perfect positive linear relationship and 0 is an intermediate between neither positive nor negative linear interdependency. Hoindependent of each other completely. Correlation Matrix in R computes the linear relationship degree between a set of random variables, taking one pair at a time and performing for each set of pairs within the data.