- What is the covariance function in R?
- How to get covariance matrix in R?
- How do I calculate covariance?
What is the covariance function in R?
Covariance in R programming
In Statistics, Covariance is the measure of the relation between two variables of a dataset. That is, it depicts the way two variables are related to each other.
How to get covariance matrix in R?
To create a Covariance matrix from a data frame in the R Language, we use the cov() function. The cov() function forms the variance-covariance matrix. It takes the data frame as an argument and returns the covariance matrix as result.
How do I calculate covariance?
The covariance between X and Y is defined as Cov(X,Y)=E[(X−EX)(Y−EY)]=E[XY]−(EX)(EY).