Calculating the correlation matrix
A correlation matrix is a generalization of the concept of correlation between two variables. If you are looking at a large number of variables, it can also be useful to visualize the correlation matrix to understand the dependence of the variables on each other.
This exercise is part of the course
Multivariate Probability Distributions in R
Exercise instructions
- Find the correlation matrix of the Alcohol, Malic, Ash, and Alcalinity variables from the wine data.
- Round the values of the correlation matrix to two decimal places.
- Use the
corrplot()function to visualize the correlation matrix.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the correlation matrix
cor.wine <- ___
# Round the matrix to two decimal places
___
# Plot the correlations
corrplot(___, method = "ellipse")